Katni district, Madhya Pradesh
Katni is a district of Madhya Pradesh, with a population of 12,92,042 at the 2011 Census across 5,050 km². The figures below come from the Census of India and NFHS-5, each shown with its own vintage and its rank among Madhya Pradesh's districts and nationally.
- Population
- 13 Lakh
- Census 2011
- Area
- 5,050 km²
- Density
- 256
- per km²
- Literacy
- 61.2%
- Census 2011
- Sex ratio
- 952
- females per 1,000 males
Amenities & Infrastructure
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| Clean Cooking Fuel2021 | 29.5% | 36 / 52 | 634 / 771 |
| Drinking Water Access2021 | 94.0% | 13 / 52 | 510 / 771 |
| Electricity Access2011 | 59.7% | 34 / 52 | 461 / 769 |
| Electricity Access2021 | 97.9% | 37 / 52 | 463 / 771 |
| Improved Sanitation2021 | 53.5% | 44 / 52 | 692 / 771 |
| Primary & Community Health Centres2011 | 23 | 32 / 50 | 466 / 613 |
| Sub-Divisional & District Hospitals2011 | 2 | 16 / 50 | 174 / 479 |
| Tap Water Access2011 | 17.3% | 26 / 52 | 570 / 769 |
Demography
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| Birth Registration, Under 52021 | 96.8% | 14 / 52 | 263 / 771 |
| Death Registration2021 | 60.3% | 46 / 51 | 550 / 770 |
| Population Under 152021 | 25.3% | 31 / 52 | 388 / 771 |
| Scheduled Caste Population2011Male 79,369 · Female 76,348 | 1,55,717 | 33 / 52 | 463 / 785 |
| Scheduled Tribe Population2011Male 1,59,799 · Female 1,57,900 | 3,17,699 | 19 / 52 | 114 / 785 |
| Sex Ratio at Birth2021 | 958 | 26 / 50 | 323 / 769 |
| Teenage Pregnancy, Age 15–192021 | 1.7% | 49 / 52 | 662 / 771 |
| Women Married Before 182021 | 17.2% | 38 / 52 | 416 / 771 |
| Workers2011Male 3,48,410 · Female 1,95,464 | 5,43,874 | 30 / 52 | 404 / 785 |
Education
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| Females 6+ Who Ever Attended School2021 | 71.4% | 12 / 52 | 382 / 771 |
| Literacy2011Male 4,60,583 · Female 3,30,190 | 7,90,773 | 27 / 52 | 411 / 785 |
| Pre-Primary Attendance, Age 52021 | 6.3% | 32 / 51 | 510 / 768 |
| Women with 10+ Years of Schooling2021 | 32.5% | 11 / 52 | 523 / 771 |
| Women's Literacy2021 | 67.2% | 21 / 52 | 539 / 771 |
Health & Nutrition
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| Adequate Diet, Children 6–23 Months2021 | 8.2% | 28 / 51 | 503 / 770 |
| Child Anaemia2021 | 78.7% | 12 / 52 | 72 / 771 |
| Child Overweight2021 | 1.7% | 29 / 52 | 635 / 771 |
| Child Stunting2021 | 49.5% | 1 / 52 | 23 / 771 |
| Child Underweight2021 | 44.0% | 3 / 52 | 55 / 771 |
| Child Wasting2021 | 21.8% | 11 / 52 | 205 / 771 |
| Exclusive Breastfeeding, Under 6 Months2021 | 76.3% | 22 / 40 | 110 / 493 |
| Iodized Salt Use2021 | 85.3% | 51 / 52 | 716 / 771 |
| Women Overweight or Obese, BMI ≥ 252021 | 16.4% | 23 / 52 | 524 / 771 |
| Women Underweight, BMI < 18.52021 | 18.1% | 47 / 52 | 367 / 771 |
| Women's Anaemia, 15–492021 | 58.7% | 18 / 52 | 333 / 771 |
Health Coverage
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| 4+ Antenatal Care Visits2021 | 52.9% | 39 / 52 | 497 / 771 |
| Alcohol Consumption, Age 15+2021Women 0.4% · Men 18.8% | 9.8% | 18 / 52 | 431 / 771 |
| Breast Cancer Screening, Women 30–492021 | 0.4% | 11 / 52 | 223 / 771 |
| Caesarean Delivery Rate2021 | 5.1% | 49 / 52 | 723 / 771 |
| Cervical Cancer Screening, Women 30–492021 | 0.0% | 41 / 52 | 653 / 771 |
| Elevated Blood Pressure2021Women 18.5% · Men 20.8% | 19.7% | 37 / 52 | 535 / 771 |
| Full Immunization2021 | 86.0% | 15 / 49 | 215 / 758 |
| Health Insurance Coverage2021 | 18.1% | 50 / 52 | 620 / 771 |
| Institutional Births2021 | 91.8% | 26 / 52 | 395 / 771 |
| Menstrual Hygiene, Age 15–242021 | 55.5% | 35 / 52 | 716 / 771 |
| Modern Contraceptive Use2021 | 64.1% | 33 / 52 | 227 / 771 |
| Oral Cancer Screening, Women 30–492021 | 0.0% | 39 / 52 | 583 / 771 |
| Out-of-Pocket Cost per Public-Facility Delivery2021 | 1,019 | 39 / 52 | 722 / 758 |
| Tobacco Use, Age 15+2021Women 11.7% · Men 57.4% | 35.1% | 13 / 52 | 157 / 770 |
| Unmet Need for Family Planning2021 | 6.0% | 34 / 52 | 559 / 771 |
| Very High Blood Sugar, >160 mg/dl2021Women 4.1% · Men 5.3% | 4.7% | 26 / 52 | 488 / 771 |
Population & Density
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| Population2011Male 6,62,013 · Female 6,30,029 | 12,92,042 | 30 / 52 | 410 / 785 |
| Population2020 | 14,04,325 | 30 / 52 | 393 / 785 |
| Population Density2011 | 256 | 17 / 52 | 521 / 785 |
| Population Density2020 | 278 | 19 / 52 | 503 / 785 |
Railway
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| Distance to Nearest Railway Station | 3.9 | 46 / 52 | 620 / 785 |
| Railway Line Density | 3.7 | 3 / 52 | 221 / 785 |
| Railway Line Kilometres | 184.7 | 6 / 52 | 98 / 785 |
| Railway Line Km per Million People | 143 | 5 / 52 | 41 / 785 |
| Railway Station Density | 4.6 | 5 / 52 | 228 / 785 |
| Railway Stations | 23 | 5 / 52 | 104 / 785 |
| Railway Stations per Million People | 17.8 | 2 / 52 | 46 / 785 |
| Railway Under Construction | 37 | 7 / 52 | 42 / 785 |
Roads
| Indicator | Value | In Madhya Pradesh | In India |
|---|---|---|---|
| Four-Lane Highway Share | 0.0% | 38 / 42 | 524 / 619 |
| Four-Lane-or-Wider Highway Length | 0 | 39 / 52 | 538 / 785 |
| Highway Length With a Recorded Lane Count | 6.6 | 42 / 52 | 611 / 785 |
| National Highway Density | 2 | 42 / 52 | 699 / 785 |
| National Highway Length | 99.5 | 41 / 52 | 536 / 785 |
| National Highway Under Construction or Proposed | 0 | 4 / 52 | 128 / 785 |
National highways through Katni
- NH-NH-30
- NH-NH-43
Other districts of Madhya Pradesh
- Agar Malwa
- Alirajpur
- Anuppur
- Ashoknagar
- Balaghat
- Barwani
- Betul
- Bhind
- Bhopal
- Burhanpur
- Chhatarpur
- Chhindwara
- Damoh
- Datia
- Dewas
- Dhar
- Dindori
- East Nimar
- Guna
- Gwalior
- Harda
- Indore
- Jabalpur
- Jhabua
- Khargone
- Mandla
- Mandsaur
- Morena
- Narmadapuram
- Narsinghpur
- Neemuch
- Niwari
- Panna
- Raisen
- Rajgarh
- Ratlam
- Rewa
- Sagar
- Satna
- Sehore
- Seoni
- Shahdol
- Shajapur
- Sheopur
- Shivpuri
- Sidhi
- Singrauli
- Tikamgarh
- Ujjain
- Umaria
- Vidisha
Compare Katni against every other district on a map, add layers and run a scatter — open the atlas. Sources and vintages for every figure on this page are listed under datasets, or browse all 785 districts.