Dhar
District in Madhya Pradesh
Population
21.9 Lakh
State: 7.3 Crore
Area
7,846 km²
Literacy Rate
49.3%
State: 59.0%
Sex Ratio
964
State: 931
Density
279 /km²
State: 245 /km²
Dhar is a district in Madhya Pradesh with a population of 21.9 Lakh spread across 7,846 sq km. Its literacy rate of 49.3% is below the state average of 59.0% and below the national average of 63.0%. The district has a sex ratio of 964 females per 1,000 males, above the state average of 931.
Demographics
Indicator
District
State Avg
National
Population Density
279 /km²
▲
245 /km²
379 /km²
Sex Ratio
964
▲
931
943
Literacy Rate
49.3%
▼
59.0%
63.0%
SC Population
6.7%
▼
15.6%
16.6%
ST Population
55.9%
▲
21.1%
8.7%
Worker Participation
47.0%
▲
43.5%
39.8%
Health & Development
Indicator
District
State Avg
National
Child Stunting
28.8%
▼
35.3%
33.2%
Child Wasting
29.5%
▲
19.2%
18.4%
Underweight Children
35.9%
▲
33.1%
29.1%
Child Anaemia
65.0%
▼
71.5%
65.2%
Women Anaemia
50.2%
▼
55.0%
55.3%
Full Vaccination
75.4%
▼
78.4%
77.4%
Institutional Delivery
95.5%
▲
90.4%
88.5%
Improved Sanitation
61.9%
▼
63.8%
72.4%
Clean Cooking Fuel
44.8%
▲
37.2%
54.6%
Health Insurance
30.3%
▼
38.3%
41.3%
Safe Drinking Water
89.2%
▲
88.1%
93.6%
Electricity Access
97.6%
▼
98.4%
97.0%
Women & Gender
Indicator
District
State Avg
National
Child Marriage
26.5%
▲
23.1%
20.6%
Teen Pregnancy
7.7%
▲
5.1%
6.6%
Female Literacy Gap
16.5%
▼
16.8%
14.1%
Female Work Gap
13.5%
▼
19.9%
23.9%
Economy & Infrastructure
Indicator
District
State Avg
National
MSME Density
34.1 per 1k pop
▲
30.0 per 1k pop
42.6 per 1k pop
Total MSMEs
74.4k
▲
44k
61.7k
Manufacturing Share
20.8%
▲
20.2%
24.9%
Governance
Indicator
District
State Avg
National
Pending Cases
2087 per lakh
▼
2627 per lakh
3585 per lakh
Cases Delayed (%)
23.7%
▼
38.0%
35.5%
Monthly Disposal Ratio
0.69
▼
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)
229.0 per lakh
▲
118.4 per lakh
89.0 per lakh
Cyber Crime
0.0 per lakh
▼
6.6 per lakh
55.7 per lakh
Climate Vulnerability
Indicator
District
State Avg
National
Climate Vulnerability Index
0.51
▼
0.56
0.56
All Indicators
| Indicator | District | State Avg | National Avg | Source |
|---|---|---|---|---|
| Population | 11.1 L | 6.8 L | 8 L | Census 2011 (2011) |
| Households | 4.3 L | 2.7 L | 3.2 L | Census 2011 (2011) |
| Literacy | 6.4 L | 4.6 L | 5.6 L | Census 2011 (2011) |
| Children | 1.9 L | 1 L | 1.1 L | Census 2011 (2011) |
| Scheduled Castes | 74,291 | 1.1 L | 1.4 L | Census 2011 (2011) |
| Scheduled Tribes | 6.1 L | 1.4 L | 73,030.1 | Census 2011 (2011) |
| Worker Participation | 6 L | 3.7 L | 4.2 L | Census 2011 (2011) |
| Cultivators | 2.2 L | 1.1 L | 94,025.601 | Census 2011 (2011) |
| Agricultural Laborers | 1.4 L | 73,231.109 | 71,160.644 | Census 2011 (2011) |
| Other Workers | 1.4 L | 1.1 L | 1.7 L | Census 2011 (2011) |
| Sex Ratio | 964.36 | 935.22 | 949.448 | Census 2011 (2011) |
| Child Sex Ratio (0–6) | 928.119 | 920.578 | 925.852 | Census 2011 (2011) |
| Female Literacy Gap | 16.5 | 16.8 | 14.1 | Census 2011 (2011) |
| Female Work Gap | 13.5 | 19.9 | 23.9 | Census 2011 (2011) |
| Hospitals & Health Centres | 16 | 11.7 | 26.8 | Town Amenities Census 2011 (2011) |
| Schools | 474 | 477.722 | 448.822 | Town Amenities Census 2011 (2011) |
| Banking | 86 | 70.1 | 81.1 | Town Amenities Census 2011 (2011) |
| Child Stunting | 28.8% | 35.3% | 33.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Wasting | 29.5% | 19.2% | 18.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Underweight | 35.9% | 33.1% | 29.1% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Anaemia | 65.0% | 71.5% | 65.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Anaemia | 50.2% | 55.0% | 55.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Full Vaccination | 75.4% | 78.4% | 77.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Institutional Births | 95.5% | 90.4% | 88.5% | National Family Health Survey (NFHS-5) (2019–21) |
| Improved Sanitation | 61.9% | 63.8% | 72.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Clean Cooking Fuel | 44.8% | 37.2% | 54.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Health Insurance | 30.3% | 38.3% | 41.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Drinking Water | 89.2% | 88.1% | 93.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Electricity Access | 97.6% | 98.4% | 97.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Iodized Salt | 97.4% | 95.2% | 95.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Literacy | 55.6% | 64.3% | 73.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Women 10+ Yr Schooling | 23.8% | 28.0% | 40.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Marriage | 26.5% | 23.1% | 20.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Teen Pregnancy | 7.7% | 5.1% | 6.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Menstrual Hygiene | 57.9% | 59.6% | 78.6% | National Family Health Survey (NFHS-5) (2019–21) |
| 4+ Antenatal Visits | 76.5% | 57.5% | 60.4% | National Family Health Survey (NFHS-5) (2019–21) |
| C-Section Rate | 13.2% | 11.7% | 23.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Exclusive Breastfeeding | — | 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 | 19.8% | 22.5% | 25.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Diabetes | 10.5% | 12.6% | 14.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Tobacco Use | 44.1% | 47.6% | 40.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Pending Cases per Lakh | 2,086.886 | 2,627.364 | 3,585.273 | National Judicial Data Grid (2024) |
| Cases Delayed in Disposal | 23.7% | 38.0% | 35.5% | National Judicial Data Grid (2024) |
| Chronic Backlog (5+ Yr) | 7.2% | 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 | 45,615 | 39,193.462 | 64,978.341 | National Judicial Data Grid (2024) |
| Women's Court Cases | 6.9% | 9.5% | 9.4% | National Judicial Data Grid (2024) |
| Cases at Evidence Stage | 52.0% | 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 | 47.3 | 48.1 | 43.4 | Climate Vulnerability Index (2021) |
| Food Grain Yield Variability | 0.6 | 0.7 | 0.3 | Climate Vulnerability Index (2021) |
| Infant Mortality Rate (CVI 2021) | 54 | 66.3 | 56.4 | Climate Vulnerability Index (2021) |
| Average Holding Size | 1.8 | 1.6 | 1.5 | Agricultural Census 2015-16 (2015–16) |
| Marginal Farmers (%) | 42.0% | 47.7% | 59.8% | Agricultural Census 2015-16 (2015–16) |
| Agricultural Intensity | 62.9% | 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 | -14.3 | 6.8 | 11.3 | Agricultural Census 2015-16 (2015–16) |
| Holdings per 1,000 People | 129.964 | 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 | 0.5 | 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 | 34.1 | 30.0 | 42.6 | Udyam Registration (MSME) (2026) |
| Total MSMEs | 74,448 | 43,961.236 | 61,725.66 | Udyam Registration (MSME) (2026) |
| Manufacturing Share | 20.8% | 20.2% | 24.9% | Udyam Registration (MSME) (2026) |
| Small Enterprise Share | 0.9% | 0.7% | 0.8% | Udyam Registration (MSME) (2026) |
| POCSO Cases | 229 | 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) | 44 | 91.2 | 147.763 | National Crime Records Bureau — SLL Crimes (2022) |
| Cybercrime | — | 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 | 229 | 118.667 | 93.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Blood Banks per Lakh | 6 | 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 Dhar district?
Dhar has a population of 21.9 Lakh according to the Census 2011, with a density of 279 people per sq km across 7,846 sq km.
What is the literacy rate of Dhar?
Dhar has a literacy rate of 49.3%, which is below the Madhya Pradesh average of 59.0% and below the national average of 63.0%.
How does Dhar compare to Madhya Pradesh?
Dhar has a sex ratio of 964 (above state average of 931) and a literacy rate of 49.3% (below state average of 59.0%).
What data sources are used for Dhar?
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)