Pakyong
District in Sikkim
Population
64.1k
State: 6.1 Lakh
Area
437 km²
Literacy Rate
70.4%
State: 72.9%
Sex Ratio
932
State: 890
Density
147 /km²
State: 89 /km²
Pakyong is a district in Sikkim with a population of 64.1k spread across 437 sq km. Its literacy rate of 70.4% is below the state average of 72.9% and above the national average of 63.0%. The district has a sex ratio of 932 females per 1,000 males, above the state average of 890. Some values for this district are area-proportional estimates based on parent district data.
Demographics
Indicator
District
State Avg
National
Population Density
147 /km²
▲
89 /km²
379 /km²
Sex Ratio
932
▲
890
943
Literacy Rate
70.4%
▼
72.9%
63.0%
SC Population
5.1%
▲
4.6%
16.6%
ST Population
26.3%
▼
33.8%
8.7%
Worker Participation
50.1%
▼
50.5%
39.8%
Health & Development
Indicator
District
State Avg
National
Child Stunting
17.8%
▼
23.8%
33.2%
Child Wasting
14.3%
▲
13.9%
18.4%
Underweight Children
13.0%
▼
14.5%
29.1%
Child Anaemia
49.8%
▼
57.3%
65.2%
Women Anaemia
43.3%
▲
41.4%
55.3%
Full Vaccination
0.0%
▼
92.8%
77.4%
Institutional Delivery
91.8%
▼
96.1%
88.5%
Improved Sanitation
85.0%
▼
87.2%
72.4%
Clean Cooking Fuel
87.6%
▲
74.5%
54.6%
Health Insurance
29.9%
▲
24.2%
41.3%
Safe Drinking Water
93.6%
▲
92.5%
93.6%
Electricity Access
99.4%
▲
99.1%
97.0%
Women & Gender
Indicator
District
State Avg
National
Child Marriage
9.4%
▼
12.1%
20.6%
Teen Pregnancy
1.7%
▼
3.5%
6.6%
Female Literacy Gap
9.6%
▼
10.8%
14.1%
Female Work Gap
19.4%
▲
19.3%
23.9%
Economy & Infrastructure
Indicator
District
State Avg
National
MSME Density
148.3 per 1k pop
▲
53.5 per 1k pop
42.6 per 1k pop
Total MSMEs
9.5k
▲
5k
61.7k
Manufacturing Share
18.1%
▼
20.7%
24.9%
Governance
Indicator
District
State Avg
National
Pending Cases
1706 per lakh
▲
479 per lakh
3585 per lakh
Cases Delayed (%)
9.9%
▲
8.4%
35.5%
Monthly Disposal Ratio
0.78
▼
0.82
0.81
Safety & Crime
Indicator
District
State Avg
National
SC/ST Atrocities
2.0 per lakh
▲
1.5 per lakh
17.4 per lakh
Domestic Violence
0.0 per lakh
—
0.0 per lakh
12.6 per lakh
Child Abuse (POCSO)
31.0 per lakh
▲
20.5 per lakh
89.0 per lakh
Cyber Crime
26.0 per lakh
—
26.0 per lakh
55.7 per lakh
All Indicators
| Indicator | District | State Avg | National Avg | Source |
|---|---|---|---|---|
| Population | 33,203 | 53,845 | 8 L | Census 2011 (2011) |
| Households | 13,792 | 21,501 | 3.2 L | Census 2011 (2011) |
| Literacy | 24,908 | 41,878.167 | 5.6 L | Census 2011 (2011) |
| Children | 3,358 | 5,460.167 | 1.1 L | Census 2011 (2011) |
| Scheduled Castes | 1,630 | 2,409 | 1.4 L | Census 2011 (2011) |
| Scheduled Tribes | 8,476 | 17,543.5 | 73,030.1 | Census 2011 (2011) |
| Worker Participation | 19,752 | 32,393 | 4.2 L | Census 2011 (2011) |
| Cultivators | 4,906 | 8,431 | 94,025.601 | Census 2011 (2011) |
| Agricultural Laborers | 1,293 | 1,190.833 | 71,160.644 | Census 2011 (2011) |
| Other Workers | 9,650 | 16,787.667 | 1.7 L | Census 2011 (2011) |
| Sex Ratio | 931.542 | 892.871 | 949.448 | Census 2011 (2011) |
| Child Sex Ratio (0–6) | 991.066 | 959.043 | 925.852 | Census 2011 (2011) |
| Female Literacy Gap | 9.6 | 10.8 | 14.1 | Census 2011 (2011) |
| Female Work Gap | 19.4 | 19.3 | 23.9 | Census 2011 (2011) |
| Hospitals & Health Centres ~ | 2 | 2.2 | 26.8 | Town Amenities Census 2011 (2011) |
| Schools ~ | 63 | 33.2 | 448.822 | Town Amenities Census 2011 (2011) |
| Banking ~ | 24 | 11.5 | 81.1 | Town Amenities Census 2011 (2011) |
| Child Stunting ~ | 17.8% | 23.8% | 33.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Wasting ~ | 14.3% | 13.9% | 18.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Underweight ~ | 13.0% | 14.5% | 29.1% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Anaemia ~ | 49.8% | 57.3% | 65.2% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Anaemia ~ | 43.3% | 41.4% | 55.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Full Vaccination ~ | — | 92.8% | 77.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Institutional Births ~ | 91.8% | 96.1% | 88.5% | National Family Health Survey (NFHS-5) (2019–21) |
| Improved Sanitation ~ | 85.0% | 87.2% | 72.4% | National Family Health Survey (NFHS-5) (2019–21) |
| Clean Cooking Fuel ~ | 87.6% | 74.5% | 54.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Health Insurance ~ | 29.9% | 24.2% | 41.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Drinking Water ~ | 93.6% | 92.5% | 93.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Electricity Access ~ | 99.4% | 99.1% | 97.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Iodized Salt ~ | 97.7% | 98.3% | 95.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Women Literacy ~ | 90.1% | 87.3% | 73.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Women 10+ Yr Schooling ~ | 53.2% | 46.3% | 40.3% | National Family Health Survey (NFHS-5) (2019–21) |
| Child Marriage ~ | 9.4% | 12.1% | 20.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Teen Pregnancy ~ | 1.7% | 3.5% | 6.6% | National Family Health Survey (NFHS-5) (2019–21) |
| Menstrual Hygiene ~ | 84.8% | 85.8% | 78.6% | National Family Health Survey (NFHS-5) (2019–21) |
| 4+ Antenatal Visits ~ | 43.8% | 62.0% | 60.4% | National Family Health Survey (NFHS-5) (2019–21) |
| C-Section Rate ~ | 36.9% | 30.8% | 23.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Exclusive Breastfeeding ~ | — | — | 66.0% | National Family Health Survey (NFHS-5) (2019–21) |
| ORS for Diarrhoea ~ | — | — | 61.8% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Hypertension ~ | 34.2% | 42.6% | 25.0% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Diabetes ~ | 15.8% | 15.4% | 14.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Male Tobacco Use ~ | 37.9% | 41.4% | 40.7% | National Family Health Survey (NFHS-5) (2019–21) |
| Pending Cases per Lakh | 1,705.83 | 479.138 | 3,585.273 | National Judicial Data Grid (2024) |
| Cases Delayed in Disposal | 9.9% | 8.4% | 35.5% | National Judicial Data Grid (2024) |
| Chronic Backlog (5+ Yr) | 1.7% | 1.7% | 19.5% | National Judicial Data Grid (2024) |
| Monthly Disposal Ratio | 0.8 | 0.8 | 0.8 | National Judicial Data Grid (2024) |
| Case Density | 1,094 | 474.5 | 64,978.341 | National Judicial Data Grid (2024) |
| Women's Court Cases | 18.5% | 18.5% | 9.4% | National Judicial Data Grid (2024) |
| Cases at Evidence Stage | 62.6% | 51.8% | 39.0% | National Judicial Data Grid (2024) |
| Climate Vulnerability Index | — | — | 0.6 | Climate Vulnerability Index (2021) |
| MGNREGA Days per Household | — | — | 43.4 | Climate Vulnerability Index (2021) |
| Food Grain Yield Variability | — | — | 0.3 | Climate Vulnerability Index (2021) |
| Infant Mortality Rate (CVI 2021) | — | — | 56.4 | Climate Vulnerability Index (2021) |
| Average Holding Size ~ | 1.1 | 1.4 | 1.5 | Agricultural Census 2015-16 (2015–16) |
| Marginal Farmers (%) ~ | 66.4% | 59.6% | 59.8% | Agricultural Census 2015-16 (2015–16) |
| Agricultural Intensity ~ | 41.8% | 28.7% | 49.8% | Agricultural Census 2015-16 (2015–16) |
| Fallow Ratio ~ | 0.1 | 0.1 | 0.1 | Agricultural Census 2015-16 (2015–16) |
| SC/ST Land Equity Gap ~ | 14.9 | 14.1 | 11.3 | Agricultural Census 2015-16 (2015–16) |
| Holdings per 1,000 People ~ | 366.208 | 233.199 | 157.705 | Agricultural Census 2015-16 (2015–16) |
| Cultivated Land per Capita ~ | 0.3 | 0.3 | 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 ~ | 0.6 | 0.5 | 0.5 | Agricultural Census 2015-16 (2015–16) |
| Sowing Efficiency ~ | 0.9 | 0.9 | 0.9 | Agricultural Census 2015-16 (2015–16) |
| Uncultivated Ratio ~ | 0.2 | 0.2 | 0.1 | Agricultural Census 2015-16 (2015–16) |
| MSME Density | 148.317 | 53.5 | 42.6 | Udyam Registration (MSME) (2026) |
| Total MSMEs | 9,512 | 4,959.167 | 61,725.66 | Udyam Registration (MSME) (2026) |
| Manufacturing Share | 18.1% | 20.7% | 24.9% | Udyam Registration (MSME) (2026) |
| Small Enterprise Share | 1.2% | 0.7% | 0.8% | Udyam Registration (MSME) (2026) |
| POCSO Cases | 31 | 20.5 | 89.0 | National Crime Records Bureau — SLL Crimes (2022) |
| SC/ST Atrocities | 2 | 1.5 | 17.4 | National Crime Records Bureau — SLL Crimes (2022) |
| Domestic Violence | — | — | 12.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Dowry Crimes | — | — | 51.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Drug Crimes (NDPS) | 6 | 7.7 | 147.763 | National Crime Records Bureau — SLL Crimes (2022) |
| Cybercrime | 26 | 26 | 55.7 | National Crime Records Bureau — SLL Crimes (2022) |
| Environmental Crimes | — | — | 10.4 | National Crime Records Bureau — SLL Crimes (2022) |
| Safety-Relevant Crime Rate | 32 | 20.8 | 93.6 | National Crime Records Bureau — SLL Crimes (2022) |
| Blood Banks per Lakh ~ | 1 | 1.2 | 4.1 | eRaktKosh Blood Bank Registry (2024) |
| Biogas Plants per Lakh | — | — | 1.3 | GOBARdhan Biogas Plants (2026) |
~ Values marked with ~ are area-proportional estimates or inherited from a parent district.
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Frequently Asked Questions
What is the population of Pakyong district?
Pakyong has a population of 64.1k according to the Census 2011, with a density of 147 people per sq km across 437 sq km.
What is the literacy rate of Pakyong?
Pakyong has a literacy rate of 70.4%, which is below the Sikkim average of 72.9% and above the national average of 63.0%.
How does Pakyong compare to Sikkim?
Pakyong has a sex ratio of 932 (above state average of 890) and a literacy rate of 70.4% (below state average of 72.9%).
What data sources are used for Pakyong?
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)