Pakur
District in Jharkhand
Population
9 Lakh
State: 3.3 Crore
Area
1,731 km²
Literacy Rate
39.2%
State: 55.6%
Sex Ratio
989
State: 948
Density
520 /km²
State: 430 /km²
Pakur is a district in Jharkhand with a population of 9 Lakh spread across 1,731 sq km. Its literacy rate of 39.2% is below the state average of 55.6% and below the national average of 63.0%. The district has a sex ratio of 989 females per 1,000 males, above the state average of 948.
Demographics
Indicator
District
State Avg
National
Population Density
520 /km²
▲
430 /km²
379 /km²
Sex Ratio
989
▲
948
943
Literacy Rate
39.2%
▼
55.6%
63.0%
SC Population
3.2%
▼
12.1%
16.6%
ST Population
42.1%
▲
26.2%
8.7%
Worker Participation
44.9%
▲
39.7%
39.8%
Health & Development
Indicator
District
State Avg
National
Child Stunting
51.3%
▲
40.7%
33.2%
Child Wasting
23.6%
▲
23.6%
18.4%
Underweight Children
51.4%
▲
41.1%
29.1%
Child Anaemia
72.1%
▲
68.2%
65.2%
Women Anaemia
79.7%
▲
66.3%
55.3%
Full Vaccination
69.4%
▼
76.1%
77.4%
Institutional Delivery
64.6%
▼
76.3%
88.5%
Improved Sanitation
38.3%
▼
55.1%
72.4%
Clean Cooking Fuel
16.9%
▼
28.0%
54.6%
Health Insurance
52.5%
▲
52.3%
41.3%
Safe Drinking Water
88.6%
▲
84.4%
93.6%
Electricity Access
91.7%
▼
93.1%
97.0%
Women & Gender
Indicator
District
State Avg
National
Child Marriage
43.4%
▲
31.7%
20.6%
Teen Pregnancy
14.4%
▲
9.4%
6.6%
Female Literacy Gap
13.1%
▼
17.7%
14.1%
Female Work Gap
13.6%
▼
18.8%
23.9%
Economy & Infrastructure
Indicator
District
State Avg
National
MSME Density
12.6 per 1k pop
▼
21.8 per 1k pop
42.6 per 1k pop
Total MSMEs
11.4k
▼
33.4k
61.7k
Manufacturing Share
18.6%
▼
19.2%
24.9%
Governance
Indicator
District
State Avg
National
Pending Cases
746 per lakh
▼
1483 per lakh
3585 per lakh
Cases Delayed (%)
47.1%
▲
18.8%
35.5%
Monthly Disposal Ratio
1.02
—
1.03
0.81
Safety & Crime
Indicator
District
State Avg
National
SC/ST Atrocities
9.0 per lakh
▼
17.8 per lakh
17.4 per lakh
Domestic Violence
0.0 per lakh
▼
33.5 per lakh
12.6 per lakh
Child Abuse (POCSO)
13.0 per lakh
▼
37.4 per lakh
89.0 per lakh
Cyber Crime
14.0 per lakh
▼
35.2 per lakh
55.7 per lakh
Climate Vulnerability
Indicator
District
State Avg
National
Climate Vulnerability Index
0.64
▲
0.62
0.56
All Indicators
| Indicator | District | State Avg | National Avg | Source |
|---|---|---|---|---|
| Population | 4.5 L | 7.1 L | 8 L | Census 2011 (2011) |
| Households | 1.8 L | 2.6 L | 3.2 L | Census 2011 (2011) |
| Literacy | 2.1 L | 4.5 L | 5.6 L | Census 2011 (2011) |
| Children | 89,935 | 1.2 L | 1.1 L | Census 2011 (2011) |
| Scheduled Castes | 14,352 | 85,144.083 | 1.4 L | Census 2011 (2011) |
| Scheduled Tribes | 1.9 L | 1.8 L | 73,030.1 | Census 2011 (2011) |
| Worker Participation | 2.3 L | 3.5 L | 4.2 L | Census 2011 (2011) |
| Cultivators | 54,103 | 60,164.958 | 94,025.601 | Census 2011 (2011) |
| Agricultural Laborers | 39,644 | 34,566.042 | 71,160.644 | Census 2011 (2011) |
| Other Workers | 70,947 | 1.2 L | 1.7 L | Census 2011 (2011) |
| Sex Ratio | 989.175 | 955.95 | 949.448 | Census 2011 (2011) |
| Child Sex Ratio (0–6) | 975.015 | 951.916 | 925.852 | Census 2011 (2011) |
| Female Literacy Gap | 13.1 | 17.7 | 14.1 | Census 2011 (2011) |
| Female Work Gap | 13.6 | 18.8 | 23.9 | Census 2011 (2011) |
| Hospitals & Health Centres | 9 | 41.3 | 26.8 | Town Amenities Census 2011 (2011) |
| Schools | 66 | 236.917 | 448.822 | Town Amenities Census 2011 (2011) |
| Banking | 18 | 38.9 | 81.1 | Town Amenities Census 2011 (2011) |
| Child Stunting | 51.3% | 40.7% | 33.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Wasting | 23.6% | 23.6% | 18.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Underweight | 51.4% | 41.1% | 29.1% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Anaemia | 72.1% | 68.2% | 65.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Anaemia | 79.7% | 66.3% | 55.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Full Vaccination | 69.4% | 76.1% | 77.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Institutional Births | 64.6% | 76.3% | 88.5% | National Family Health Survey (NFHS-5) (2019–21) |
| Improved Sanitation | 38.3% | 55.1% | 72.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Clean Cooking Fuel | 16.9% | 28.0% | 54.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Health Insurance | 52.5% | 52.3% | 41.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Drinking Water | 88.6% | 84.4% | 93.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Electricity Access | 91.7% | 93.1% | 97.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Iodized Salt | 97.0% | 97.7% | 95.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Literacy | 41.4% | 59.7% | 73.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Women 10+ Yr Schooling | 13.6% | 31.0% | 40.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Marriage | 43.4% | 31.7% | 20.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Teen Pregnancy | 14.4% | 9.4% | 6.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Menstrual Hygiene | 66.4% | 75.7% | 78.6% | National Family Health Survey (NFHS-5) (2019–21) |
| 4+ Antenatal Visits | 26.6% | 38.8% | 60.4% | National Family Health Survey (NFHS-5) (2019–21) |
| C-Section Rate | 5.4% | 12.1% | 23.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Exclusive Breastfeeding | 73.1% | 75.0% | 66.0% | National Family Health Survey (NFHS-5) (2019–21) |
| ORS for Diarrhoea | — | 58.6% | 61.8% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Hypertension | 20.2% | 22.1% | 25.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Diabetes | 19.7% | 13.9% | 14.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Tobacco Use | 50.8% | 49.0% | 40.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Pending Cases per Lakh | 746.095 | 1,483.259 | 3,585.273 | National Judicial Data Grid (2024) |
| Cases Delayed in Disposal | 47.1% | 18.8% | 35.5% | National Judicial Data Grid (2024) |
| Chronic Backlog (5+ Yr) | 29.3% | 24.3% | 19.5% | National Judicial Data Grid (2024) |
| Monthly Disposal Ratio | 1.0 | 1.0 | 0.8 | National Judicial Data Grid (2024) |
| Case Density | 6,718 | 22,725.125 | 64,978.341 | National Judicial Data Grid (2024) |
| Women's Court Cases | 21.9% | 9.7% | 9.4% | National Judicial Data Grid (2024) |
| Cases at Evidence Stage | 41.3% | 44.4% | 39.0% | National Judicial Data Grid (2024) |
| Climate Vulnerability Index | 0.6 | 0.6 | 0.6 | Climate Vulnerability Index (2021) |
| MGNREGA Days per Household | 44 | 45.6 | 43.4 | Climate Vulnerability Index (2021) |
| Food Grain Yield Variability | 0.2 | 0.2 | 0.3 | Climate Vulnerability Index (2021) |
| Infant Mortality Rate (CVI 2021) | — | — | 56.4 | Climate Vulnerability Index (2021) |
| Average Holding Size | 0.9 | 1.2 | 1.5 | Agricultural Census 2015-16 (2015–16) |
| Marginal Farmers (%) | 75.8% | 67.6% | 59.8% | Agricultural Census 2015-16 (2015–16) |
| Agricultural Intensity | 50.2% | 37.3% | 49.8% | Agricultural Census 2015-16 (2015–16) |
| Fallow Ratio | 0.6 | 0.5 | 0.1 | Agricultural Census 2015-16 (2015–16) |
| SC/ST Land Equity Gap | 22.6 | 11.4 | 11.3 | Agricultural Census 2015-16 (2015–16) |
| Holdings per 1,000 People | 111.82 | 93.0 | 157.705 | Agricultural Census 2015-16 (2015–16) |
| Cultivated Land per Capita | 0.1 | 0.1 | 0.2 | Agricultural Census 2015-16 (2015–16) |
| Leased Area Share | — | 0.0 | 0.0 | Agricultural Census 2015-16 (2015–16) |
| Land Gini Coefficient | 0.5 | 0.6 | 0.5 | Agricultural Census 2015-16 (2015–16) |
| Sowing Efficiency | 0.4 | 0.5 | 0.9 | Agricultural Census 2015-16 (2015–16) |
| Uncultivated Ratio | 0.0 | 0.1 | 0.1 | Agricultural Census 2015-16 (2015–16) |
| MSME Density | 12.6 | 21.8 | 42.6 | Udyam Registration (MSME) (2026) |
| Total MSMEs | 11,374 | 33,379.792 | 61,725.66 | Udyam Registration (MSME) (2026) |
| Manufacturing Share | 18.6% | 19.2% | 24.9% | Udyam Registration (MSME) (2026) |
| Small Enterprise Share | 0.7% | 0.6% | 0.8% | Udyam Registration (MSME) (2026) |
| POCSO Cases | 13 | 37.4 | 89.0 | National Crime Records Bureau — SLL Crimes (2022) |
| SC/ST Atrocities | 9 | 17.8 | 17.4 | National Crime Records Bureau — SLL Crimes (2022) |
| Domestic Violence | — | 33.5 | 12.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Dowry Crimes | 112 | 76.8 | 51.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Drug Crimes (NDPS) | — | 13.8 | 147.763 | National Crime Records Bureau — SLL Crimes (2022) |
| Cybercrime | 14 | 35.2 | 55.7 | National Crime Records Bureau — SLL Crimes (2022) |
| Environmental Crimes | — | 6.3 | 10.4 | National Crime Records Bureau — SLL Crimes (2022) |
| Safety-Relevant Crime Rate | 13 | 37.9 | 93.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Blood Banks per Lakh | 1 | 2.7 | 4.1 | eRaktKosh Blood Bank Registry (2024) |
| Biogas Plants per Lakh | — | 1 | 1.3 | GOBARdhan Biogas Plants (2026) |
More Districts in Jharkhand
Ranchi
Dhanbad
Giridih
East Singhbhum
Bokaro
Palamu
Hazaribagh
West Singhbhum
Deoghar
Garhwa
Dumka
Godda
Sahibganj
Saraikela-kharsawan
Chatra
Gumla
Ramgarh
Jamtara
Latehar
Koderma
Simdega
Khunti
Lohardaga
Get notified when new data drops for Pakur.
Frequently Asked Questions
What is the population of Pakur district?
Pakur has a population of 9 Lakh according to the Census 2011, with a density of 520 people per sq km across 1,731 sq km.
What is the literacy rate of Pakur?
Pakur has a literacy rate of 39.2%, which is below the Jharkhand average of 55.6% and below the national average of 63.0%.
How does Pakur compare to Jharkhand?
Pakur has a sex ratio of 989 (above state average of 948) and a literacy rate of 39.2% (below state average of 55.6%).
What data sources are used for Pakur?
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)