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Release from Health Management Information System, Ministry of Health and Family Welfare
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Fetched via the observatory's Mumbai relay (the publisher serves only Indian IP addresses) on 3 Oct 2026, 21:02 IST. The copy below is byte-for-byte what the publisher served.
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 72.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 72.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 84.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 |
Health Management Information System, Ministry of Health and Family Welfare. HMIS item-wise monthly report, All India across states, September 2020 (FY 2020-21, provisional) (published 1 Oct 2024). Archived by the India Health Observatory on 3 Oct 2026, SHA-256 6a8c6beb4d739ec07b19b21b88bfac41d423c838f57a43bee2045ac4b12024b4. https://indiahealthobservatory.com/sources/hmis/releases/2587
| 31.9% |
| 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 85.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 65.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 83.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 90.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 40.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 53.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 86.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 71.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 86.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 65.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 66.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 81.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 86.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 66.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 91.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 71.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 86.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 47.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 40.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 78.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 27.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 89.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 35.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 78.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 67.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 78.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 96.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 74.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 73.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 60.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 82.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 84.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.1.1' Out of the total ANC registered, number registered within 1st trimester (within 12 weeks)) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 82.4 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 75.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 117.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 34.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 94.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 64.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 148.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 98.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 136.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 60.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 88.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 91.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 88.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 95.4 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 61.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 74.4 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 94.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 108.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 68.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 82.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 83.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 100.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 34.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 68.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 70.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 13.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 86.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 68.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 106.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 75.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 101.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 94.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 85.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 76.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 75.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 85.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 91.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('1.2.7' Number of PW received 4 or more ANC check ups) / ('1.1' Total number of pregnant women registered for ANC) × 100; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 23,02,741 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 445 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 61,157 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 2,721 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 51,334 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 2,92,042 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 1,479 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 49,532 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 797 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 46,023 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 1,604 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 97,881 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 42,052 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 8,143 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 28,960 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 82,599 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 90,578 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 33,502 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 302 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 115 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 1,70,583 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 1,62,554 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 4,126 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 8,722 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 1,726 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 3,181 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 59,434 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 4,684 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 28,846 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 1,35,372 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 552 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 78,145 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 54,195 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 4,630 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 5,54,756 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 16,793 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 1,23,176 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '1.1' Total number of pregnant women registered for ANC; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 20.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 30.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 45.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 23.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 23.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 2.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 32.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 15.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 38.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 30.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 41.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 19.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 18.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 26.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 46.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 7.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 33.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 43.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 25.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 40.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 10.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 24.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 37.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 16.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 20.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 18.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 23.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 39.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 41.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 11.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 41.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 44.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 55.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 30.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 8.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 16.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 33.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('3.1' Total C -Section deliveries performed) / ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 21,56,576 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 449 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 65,864 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 1,802 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 56,028 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 2,54,396 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 1,250 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 48,637 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 1,053 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 26,986 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 1,532 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 1,09,793 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 52,891 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 8,953 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 18,439 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 71,841 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 92,092 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 40,854 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 324 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 106 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 1,66,124 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 1,66,691 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 3,395 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 6,663 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 1,545 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 1,300 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 58,232 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 1,092 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 35,524 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 1,24,496 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 526 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 79,624 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 53,254 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 4,178 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 4,54,367 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 15,180 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 1,31,095 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '9.2.4.a' Children aged between 9 and 11 months fully immunized- Male + '9.2.4.b' Children aged between 9 and 11 months fully immunized - Female; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 18,01,871 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 413 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 60,457 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 1,854 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 48,418 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 1,74,811 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 1,448 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 41,133 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 938 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 19,192 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 1,511 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 1,05,026 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 47,881 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 7,412 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 14,194 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 63,069 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 77,782 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 37,858 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 319 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 82 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 1,26,170 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 1,57,852 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 2,156 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 4,861 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 1,709 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 1,184 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 52,119 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 2,262 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 34,556 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 1,27,897 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 730 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 83,996 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 48,064 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 3,925 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 3,33,916 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 12,591 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 1,04,085 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '2.2' Number of Institutional Deliveries conducted (Including C-Sections); column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 94.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 99.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 99.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 91.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 88.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 85.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 99.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 98.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 99.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 94.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 99.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 99.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 95.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 91.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 93.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 94.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 99.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 99.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 98.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 100.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 95.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 99.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 77.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 61.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 91.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 76.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 96.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 100.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 98.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 97.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 98.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 100.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 99.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 89.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 89.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 84.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 97.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('2.2' Number of Institutional Deliveries conducted (Including C-Sections)) / ('2.1.1.a' Number of Home Deliveries attended by Skill Birth Attendant(SBA) (Doctor/Nurse/ANM/ Midwife) + '2.1.1.b' Number of Home Deliveries attended by Non SBA (Trained Birth Attendant(TBA) /Relatives/etc.) + '2.2' Number of Institutional Deliveries conducted (Including C-Sections)) × 100; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 51,66,357 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 2,812 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 1,82,277 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 5,124 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 93,194 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 2,87,722 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 9,859 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 73,240 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 4,548 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 1,14,481 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 2,940 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 3,05,337 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 79,636 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 35,869 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 66,522 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 46,064 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 3,60,629 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 1,83,238 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 1,606 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 1,245 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 3,43,217 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 3,29,270 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 3,837 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 15,776 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 6,087 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 4,502 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 2,49,310 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 7,757 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 63,095 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 6,07,159 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 1,828 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 7,96,100 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 97,062 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 16,053 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 3,85,629 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 20,219 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 3,63,113 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.3.1.a' Inpatient (Male) - Children < 18 years + '14.3.1.b' Inpatient (Male)- Adults + '14.3.2.a' Inpatient (Female) - Children < 18 years + '14.3.2.b' Inpatient (Female)- Adults; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 12.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 20.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 4.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 5.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 14.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 10.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 28.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 11.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 28.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 22.6% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 13.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 12.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 15.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 11.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 5.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 6.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 9.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 11.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 7.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 7.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 15.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 10.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 4.5% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 8.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 5.1% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 3.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 16.8% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 19.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 7.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 12.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 6.4% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 13.7% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 11.0% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 10.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 10.3% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 7.9% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 23.2% | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.4.2' Number of newborns having weight less than 2.5 kg) / ('4.4.1' Number of newborns weighed at birth) × 100; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 2,14,932 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 192 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 4,876 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 600 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 2,249 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 10,482 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 1,949 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 1,768 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 273 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 17,346 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 145 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 9,369 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 3,353 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 1,931 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 6,164 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 1,250 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 21,938 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 21,407 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 77 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 111 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 6,781 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 10,554 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 872 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 962 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 773 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 615 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 8,338 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 542 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 3,449 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 12,449 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 84 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 27,966 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 4,334 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 1,349 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 10,757 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 1,093 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 18,534 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.8.1' Operation major (General and spinal anaesthesia); column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 2,153 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 53 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 137 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 71 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 58 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 53 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 77 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 78 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 12 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 83 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 145 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 221 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 138 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 31 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 64 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 52 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 138 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 67 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 30 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 485 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 17 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 120 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '16.5.1' Number of Maternal Deaths due to Bleeding + '16.5.2' Number of Maternal Deaths due to High fever + '16.5.3' Number of Maternal Deaths due to Abortion + '16.5.4' Number of Maternal Deaths due to Obstructed/prolonged labour + '16.5.5' Number of Maternal Deaths due to Severe hypertension/fits + '16.5.6' Number of Maternal Deaths due to Other Causes (including causes not known); column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 102.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 91.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 103.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 87.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 105.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 96.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 94.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 105.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 91.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 121.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 97.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 91.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 103.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 108.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 113.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 100.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 103.4 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 108.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 93.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 129.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 126.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 100.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 102.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 94.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 104.4 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 68.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 107.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 50.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 101.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 98.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 76.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 95.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 96.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 118.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 101.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 93.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 113.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('9.2.1' Child immunisation (9-11months) - Measles & Rubella (MR)/ Measles containing vaccine(MCV) - 1st Dose + '9.2.2' Child immunisation (9-11months) - Measles 1st dose) / ('9.1.2' Child immunisation - BCG) × 100; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 9,48,78,197 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 1,05,476 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 43,79,045 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 94,900 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 17,40,595 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 43,27,395 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 2,27,196 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 14,25,711 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 98,979 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 44,91,922 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 1,08,192 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 38,46,163 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 22,05,195 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 8,58,343 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 14,28,026 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 8,49,393 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 56,26,095 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 61,31,180 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 40,390 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 47,223 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 43,34,161 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 52,87,890 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 66,027 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 2,56,862 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 1,08,628 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 82,833 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 47,75,118 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 3,48,893 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 13,56,246 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 92,26,467 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 51,974 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 1,40,06,715 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 35,88,913 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 1,96,610 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 56,05,437 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 4,83,455 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 70,70,549 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: '14.2.1' Allopathic- Outpatient attendance + '14.2.2' Ayush - Outpatient attendance; column "West Bengal", Total [(A+B) or (C+D)] |
| Geography | Period | Value | Where in the document |
|---|---|---|---|
| India | September 2020 | 12.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "All India", Total [(A+B) or (C+D)] |
| Andaman and Nicobar Islands | September 2020 | 23.4 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Andaman & Nicobar Islands", Total [(A+B) or (C+D)] |
| Andhra Pradesh | September 2020 | 10.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Andhra Pradesh", Total [(A+B) or (C+D)] |
| Arunachal Pradesh | September 2020 | 9.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Arunachal Pradesh", Total [(A+B) or (C+D)] |
| Assam | September 2020 | 24.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Assam", Total [(A+B) or (C+D)] |
| Bihar | September 2020 | 11.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Bihar", Total [(A+B) or (C+D)] |
| Chandigarh | September 2020 | 19.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Chandigarh", Total [(A+B) or (C+D)] |
| Chhattisgarh | September 2020 | 19.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Chhattisgarh", Total [(A+B) or (C+D)] |
| Dadra and Nagar Haveli and Daman and Diu | September 2020 | 17.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "The Dadra And Nagar Haveli And Daman And Diu", Total [(A+B) or (C+D)] |
| Delhi | September 2020 | 16.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Delhi", Total [(A+B) or (C+D)] |
| Goa | September 2020 | 7.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Goa", Total [(A+B) or (C+D)] |
| Gujarat | September 2020 | 9.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Gujarat", Total [(A+B) or (C+D)] |
| Haryana | September 2020 | 11.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Haryana", Total [(A+B) or (C+D)] |
| Himachal Pradesh | September 2020 | 14.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Himachal Pradesh", Total [(A+B) or (C+D)] |
| Jammu and Kashmir | September 2020 | 19.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Jammu And Kashmir", Total [(A+B) or (C+D)] |
| Jharkhand | September 2020 | 12.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Jharkhand", Total [(A+B) or (C+D)] |
| Karnataka | September 2020 | 9.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Karnataka", Total [(A+B) or (C+D)] |
| Kerala | September 2020 | 3.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Kerala", Total [(A+B) or (C+D)] |
| Ladakh | September 2020 | 15.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Ladakh", Total [(A+B) or (C+D)] |
| Lakshadweep | September 2020 | 23.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Lakshadweep", Total [(A+B) or (C+D)] |
| Madhya Pradesh | September 2020 | 17.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Madhya Pradesh", Total [(A+B) or (C+D)] |
| Maharashtra | September 2020 | 8.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Maharashtra", Total [(A+B) or (C+D)] |
| Manipur | September 2020 | 3.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Manipur", Total [(A+B) or (C+D)] |
| Meghalaya | September 2020 | 25.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Meghalaya", Total [(A+B) or (C+D)] |
| Mizoram | September 2020 | 9.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Mizoram", Total [(A+B) or (C+D)] |
| Nagaland | September 2020 | 14.7 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Nagaland", Total [(A+B) or (C+D)] |
| Odisha | September 2020 | 23.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Odisha", Total [(A+B) or (C+D)] |
| Puducherry | September 2020 | 16.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Puducherry", Total [(A+B) or (C+D)] |
| Punjab | September 2020 | 12.9 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Punjab", Total [(A+B) or (C+D)] |
| Rajasthan | September 2020 | 19.0 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Rajasthan", Total [(A+B) or (C+D)] |
| Sikkim | September 2020 | 29.5 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Sikkim", Total [(A+B) or (C+D)] |
| Tamil Nadu | September 2020 | 8.1 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Tamil Nadu", Total [(A+B) or (C+D)] |
| Telangana | September 2020 | 6.3 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Telangana", Total [(A+B) or (C+D)] |
| Tripura | September 2020 | 20.2 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Tripura", Total [(A+B) or (C+D)] |
| Uttar Pradesh | September 2020 | 10.6 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Uttar Pradesh", Total [(A+B) or (C+D)] |
| Uttarakhand | September 2020 | 10.4 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "Uttarakhand", Total [(A+B) or (C+D)] |
| West Bengal | September 2020 | 16.8 | 2020-2021(Data is Provisional)/A.MonthWise/F-Sep.xlsx: ('4.1.3' Still Birth) / ('4.1.1.a' Live Birth - Male + '4.1.1.b' Live Birth - Female + '4.1.3' Still Birth) × 1000; column "West Bengal", Total [(A+B) or (C+D)] |