Sheopur
District in Madhya Pradesh
Population
6.9 Lakh
State: 7.3 Crore
Area
6,363 km²
Literacy Rate
47.7%
State: 59.0%
Sex Ratio
901
State: 931
Density
108 /km²
State: 245 /km²
Sheopur is a district in Madhya Pradesh with a population of 6.9 Lakh spread across 6,363 sq km. Its literacy rate of 47.7% is below the state average of 59.0% and below the national average of 63.0%. The district has a sex ratio of 901 females per 1,000 males, below the state average of 931.
Demographics
Indicator
District
State Avg
National
Population Density
108 /km²
▼
245 /km²
379 /km²
Sex Ratio
901
▼
931
943
Literacy Rate
47.7%
▼
59.0%
63.0%
SC Population
15.8%
▲
15.6%
16.6%
ST Population
23.5%
▲
21.1%
8.7%
Worker Participation
40.3%
▼
43.5%
39.8%
Health & Development
Indicator
District
State Avg
National
Child Stunting
45.8%
▲
35.3%
33.2%
Child Wasting
16.2%
▼
19.2%
18.4%
Underweight Children
37.7%
▲
33.1%
29.1%
Child Anaemia
71.6%
▲
71.5%
65.2%
Women Anaemia
64.9%
▲
55.0%
55.3%
Full Vaccination
65.8%
▼
78.4%
77.4%
Institutional Delivery
84.2%
▼
90.4%
88.5%
Improved Sanitation
48.0%
▼
63.8%
72.4%
Clean Cooking Fuel
22.9%
▼
37.2%
54.6%
Health Insurance
27.1%
▼
38.3%
41.3%
Safe Drinking Water
91.1%
▲
88.1%
93.6%
Electricity Access
98.0%
▼
98.4%
97.0%
Women & Gender
Indicator
District
State Avg
National
Child Marriage
39.5%
▲
23.1%
20.6%
Teen Pregnancy
5.2%
▲
5.1%
6.6%
Female Literacy Gap
20.8%
▲
16.8%
14.1%
Female Work Gap
22.1%
▲
19.9%
23.9%
Economy & Infrastructure
Indicator
District
State Avg
National
MSME Density
14.3 per 1k pop
▼
30.0 per 1k pop
42.6 per 1k pop
Total MSMEs
9.8k
▼
44k
61.7k
Manufacturing Share
26.1%
▲
20.2%
24.9%
Governance
Indicator
District
State Avg
National
Pending Cases
1419 per lakh
▼
2627 per lakh
3585 per lakh
Cases Delayed (%)
23.5%
▼
38.0%
35.5%
Monthly Disposal Ratio
0.74
—
0.74
0.81
Safety & Crime
Indicator
District
State Avg
National
SC/ST Atrocities
0.0 per lakh
▼
1.0 per lakh
17.4 per lakh
Domestic Violence
0.0 per lakh
▼
10.0 per lakh
12.6 per lakh
Child Abuse (POCSO)
18.0 per lakh
▼
118.4 per lakh
89.0 per lakh
Cyber Crime
5.0 per lakh
▼
6.6 per lakh
55.7 per lakh
Climate Vulnerability
Indicator
District
State Avg
National
Climate Vulnerability Index
0.46
▼
0.56
0.56
All Indicators
| Indicator | District | State Avg | National Avg | Source |
|---|---|---|---|---|
| Population | 3.6 L | 6.8 L | 8 L | Census 2011 (2011) |
| Households | 1.5 L | 2.7 L | 3.2 L | Census 2011 (2011) |
| Literacy | 2.1 L | 4.6 L | 5.6 L | Census 2011 (2011) |
| Children | 61,490 | 1 L | 1.1 L | Census 2011 (2011) |
| Scheduled Castes | 57,838 | 1.1 L | 1.4 L | Census 2011 (2011) |
| Scheduled Tribes | 82,637 | 1.4 L | 73,030.1 | Census 2011 (2011) |
| Worker Participation | 1.8 L | 3.7 L | 4.2 L | Census 2011 (2011) |
| Cultivators | 76,613 | 1.1 L | 94,025.601 | Census 2011 (2011) |
| Agricultural Laborers | 39,846 | 73,231.109 | 71,160.644 | Census 2011 (2011) |
| Other Workers | 35,018 | 1.1 L | 1.7 L | Census 2011 (2011) |
| Sex Ratio | 901.303 | 935.22 | 949.448 | Census 2011 (2011) |
| Child Sex Ratio (0–6) | 896.878 | 920.578 | 925.852 | Census 2011 (2011) |
| Female Literacy Gap | 20.8 | 16.8 | 14.1 | Census 2011 (2011) |
| Female Work Gap | 22.1 | 19.9 | 23.9 | Census 2011 (2011) |
| Hospitals & Health Centres | 3 | 11.7 | 26.8 | Town Amenities Census 2011 (2011) |
| Schools | 102 | 477.722 | 448.822 | Town Amenities Census 2011 (2011) |
| Banking | 19 | 70.1 | 81.1 | Town Amenities Census 2011 (2011) |
| Child Stunting | 45.8% | 35.3% | 33.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Wasting | 16.2% | 19.2% | 18.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Underweight | 37.7% | 33.1% | 29.1% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Anaemia | 71.6% | 71.5% | 65.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Anaemia | 64.9% | 55.0% | 55.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Full Vaccination | 65.8% | 78.4% | 77.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Institutional Births | 84.2% | 90.4% | 88.5% | National Family Health Survey (NFHS-5) (2019–21) |
| Improved Sanitation | 48.0% | 63.8% | 72.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Clean Cooking Fuel | 22.9% | 37.2% | 54.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Health Insurance | 27.1% | 38.3% | 41.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Drinking Water | 91.1% | 88.1% | 93.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Electricity Access | 98.0% | 98.4% | 97.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Iodized Salt | 94.9% | 95.2% | 95.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Literacy | 49.8% | 64.3% | 73.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Women 10+ Yr Schooling | 15.9% | 28.0% | 40.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Marriage | 39.5% | 23.1% | 20.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Teen Pregnancy | 5.2% | 5.1% | 6.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Menstrual Hygiene | 50.5% | 59.6% | 78.6% | National Family Health Survey (NFHS-5) (2019–21) |
| 4+ Antenatal Visits | 41.0% | 57.5% | 60.4% | National Family Health Survey (NFHS-5) (2019–21) |
| C-Section Rate | 10.5% | 11.7% | 23.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Exclusive Breastfeeding | 79.4% | 75.7% | 66.0% | National Family Health Survey (NFHS-5) (2019–21) |
| ORS for Diarrhoea | — | 62.1% | 61.8% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Hypertension | 25.7% | 22.5% | 25.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Diabetes | 10.1% | 12.6% | 14.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Tobacco Use | 53.4% | 47.6% | 40.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Pending Cases per Lakh | 1,419.037 | 2,627.364 | 3,585.273 | National Judicial Data Grid (2024) |
| Cases Delayed in Disposal | 23.5% | 38.0% | 35.5% | National Judicial Data Grid (2024) |
| Chronic Backlog (5+ Yr) | 1.3% | 9.9% | 19.5% | National Judicial Data Grid (2024) |
| Monthly Disposal Ratio | 0.7 | 0.7 | 0.8 | National Judicial Data Grid (2024) |
| Case Density | 9,761 | 39,193.462 | 64,978.341 | National Judicial Data Grid (2024) |
| Women's Court Cases | 7.4% | 9.5% | 9.4% | National Judicial Data Grid (2024) |
| Cases at Evidence Stage | 50.0% | 44.0% | 39.0% | National Judicial Data Grid (2024) |
| Climate Vulnerability Index | 0.5 | 0.6 | 0.6 | Climate Vulnerability Index (2021) |
| MGNREGA Days per Household | 50.1 | 48.1 | 43.4 | Climate Vulnerability Index (2021) |
| Food Grain Yield Variability | 0.5 | 0.7 | 0.3 | Climate Vulnerability Index (2021) |
| Infant Mortality Rate (CVI 2021) | 71 | 66.3 | 56.4 | Climate Vulnerability Index (2021) |
| Average Holding Size | 1.6 | 1.6 | 1.5 | Agricultural Census 2015-16 (2015–16) |
| Marginal Farmers (%) | 37.9% | 47.7% | 59.8% | Agricultural Census 2015-16 (2015–16) |
| Agricultural Intensity | 26.4% | 55.3% | 49.8% | Agricultural Census 2015-16 (2015–16) |
| Fallow Ratio | 0.0 | 0.0 | 0.1 | Agricultural Census 2015-16 (2015–16) |
| SC/ST Land Equity Gap | -11.7 | 6.8 | 11.3 | Agricultural Census 2015-16 (2015–16) |
| Holdings per 1,000 People | 150.543 | 155.811 | 157.705 | Agricultural Census 2015-16 (2015–16) |
| Cultivated Land per Capita | 0.2 | 0.2 | 0.2 | Agricultural Census 2015-16 (2015–16) |
| Leased Area Share | 0.0 | 0.0 | 0.0 | Agricultural Census 2015-16 (2015–16) |
| Land Gini Coefficient | 0.4 | 0.5 | 0.5 | Agricultural Census 2015-16 (2015–16) |
| Sowing Efficiency | 1.0 | 1.0 | 0.9 | Agricultural Census 2015-16 (2015–16) |
| Uncultivated Ratio | 0.0 | 0.0 | 0.1 | Agricultural Census 2015-16 (2015–16) |
| MSME Density | 14.3 | 30.0 | 42.6 | Udyam Registration (MSME) (2026) |
| Total MSMEs | 9,850 | 43,961.236 | 61,725.66 | Udyam Registration (MSME) (2026) |
| Manufacturing Share | 26.1% | 20.2% | 24.9% | Udyam Registration (MSME) (2026) |
| Small Enterprise Share | 1.0% | 0.7% | 0.8% | Udyam Registration (MSME) (2026) |
| POCSO Cases | 18 | 118.407 | 89.0 | National Crime Records Bureau — SLL Crimes (2022) |
| SC/ST Atrocities | — | 1 | 17.4 | National Crime Records Bureau — SLL Crimes (2022) |
| Domestic Violence | — | 10 | 12.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Dowry Crimes | — | 2.9 | 51.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Drug Crimes (NDPS) | 139 | 91.2 | 147.763 | National Crime Records Bureau — SLL Crimes (2022) |
| Cybercrime | 5 | 6.6 | 55.7 | National Crime Records Bureau — SLL Crimes (2022) |
| Environmental Crimes | — | 3 | 10.4 | National Crime Records Bureau — SLL Crimes (2022) |
| Safety-Relevant Crime Rate | 18 | 118.667 | 93.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Blood Banks per Lakh | 1 | 3.3 | 4.1 | eRaktKosh Blood Bank Registry (2024) |
| Biogas Plants per Lakh | — | 1 | 1.3 | GOBARdhan Biogas Plants (2026) |
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Frequently Asked Questions
What is the population of Sheopur district?
Sheopur has a population of 6.9 Lakh according to the Census 2011, with a density of 108 people per sq km across 6,363 sq km.
What is the literacy rate of Sheopur?
Sheopur has a literacy rate of 47.7%, which is below the Madhya Pradesh average of 59.0% and below the national average of 63.0%.
How does Sheopur compare to Madhya Pradesh?
Sheopur has a sex ratio of 901 (below state average of 931) and a literacy rate of 47.7% (below state average of 59.0%).
What data sources are used for Sheopur?
Data comes from Census 2011, NFHS-5 (2019-21), NJDG (2024), Udyam/MSME (2026), NCRB SLL (2022), CVI (2021), Ag Census 2015-16, RBI BSR (2026), and other official sources.
Data Sources
Census 2011
NFHS-5 (2019–21)
NJDG (2024)
CVI (2021)
Ag Census 2015–16
Udyam/MSME (2026)
NCRB SLL (2022)
eRaktKosh (2024)
GOBARdhan (2026)
Town Amenities (2011)
RBI BSR (2026)