Pakyong AI Report
Date: July 26, 2025
Pakyong district in Sikkim, has 10% to the state's population. The nearest airport is Bagdogra Airport in Siliguri, located 42 Km away.
Pakyong is the 768th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Pakyong District in Sikkim State. Pakyong District is 739th highest ranked in population and 734th ranked in area, in India.
Pakyong is the 1st highest ranked in City FB Users % of City Literate Population (%, FB 2025) out of 768 city/districts of India. This indicates higher facebook IDs in FB Advertising module for this town vis a vis other towns.
Pakyong is the 9th highest ranked in % of Household with Mobiles (%, Census 2011) out of 768 city/districts of India. This indicates that economic condition of people in this district is better compared to people in other districts.
Pakyong is the 99th highest ranked in Urban Internet Pop/City Pop (%, TRAI December 2024) out of 768 city/districts of India. This indicates higher number of state urban internet users as reported in TRAI quarterly report vis a vis other state's urban internet users.
City FB Users % of City Literate Population (%, FB 2025)
% of Household with Mobiles (%, Census 2011)
Urban Internet Pop/City Pop (%, TRAI December 2024)
English Speakers (Second Language + Third Language (No, Census 2011)
Bank Loans/Household (Lakhs, RBI SCB 2024)
Formal Jobs(Dist.),2023
Pakyong is the 700th worst ranked in English Speakers (Second Language + Third Language (No, Census 2011) out of 768 city/districts of India. This indicates a lower pool of literate english population compared to other cities.
Pakyong is the 641st worst ranked in Bank Loans/Household (Lakhs, RBI SCB 2024) out of 768 city/districts of India. This implies that standard of living of people in this district is poor compared to other districts.
Pakyong is the 582nd worst ranked in Formal Jobs(Dist.),2023 out of 768 city/districts of India. This implies low private sector growth.
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Pakyong Nature Highlights
| Nature Metrics | % of India | Rank Out of 768 | City / Districts Data |
|---|
Pakyong Culture Highlights
| Sr.No | Culture Metrics | Counts | Name |
|---|
Airports
| Name | City | IATA Code | Distance | |
|---|---|---|---|---|
|
Airport Name |
Bagdogra Airport | Siliguri | IXB | 42 Km |
No Data found.
Pakyong
Health Metrics
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | No of Primary Health Centers | 48 | 25th | 7608 |
| 2 | No of Total Hospitals | 61 | 26th | 5304 |
| 3 | No of Hospital Beds | 1470 | 28th | 1344 |
| 4 | No of Nurses | 3392 | 88th | 4207 |
| 5 | No of Doctors | 1795 | 110th | 3156 |
Pakyong
Wealth Metrics
Better than India Average-
| Sr. | Fields | India Average | Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | GDP per Capita ('000', RBI SCB 2023) | 118 | 78th | 9673 |
| 2 | % of Households with Cars (%, Census 2011) | 4 | 78th | 3898 |
| 3 | % of Household with Mobiles (%, Census 2011) | 51 | 9th | 3805 |
| 4 | Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2024) | 23 | 272nd | 7282 |
| 5 | No. of Banks/1000 Household (in 1000, RBI SCB 2024) | 1 | 34th | 3156 |
| 6 | Bank Deposit/Household (Lakhs, RBI SCB 2024) | 14 | 79th | 9730 |
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011) | 69577 | 33rd | 9539 |
| 2 | Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011) | 57099 | 34th | 3153 |
| 3 | Number of Households with Owned houses (No, Census 2011) | 280805 | 36th | 3335 |
| 4 | House Ownership % of Households (%, Census 2011) | 86 | 36th | 9148 |
| 5 | Number of Households with Mobile only (No, Census 2011) | 174173 | 68th | 10694 |
| 6 | Number of Households without Internet (No, Census 2011) | 20983 | 69th | 9665 |
| 7 | Number of Households with Television (No, Census 2011) | 157504 | 69th | 5496 |
| 8 | Number of Banks (No, RBI SCB Q3 2024) | 183 | 103rd | 9706 |
| 9 | Bank Credit (Crore, RBI SCB Q3 2024) | 23154 | 107th | 6612 |
| 10 | Bank Deposits (Crore, RBI SCB Q3 2024) | 28688 | 113th | 9707 |
| 11 | Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011) | 15680 | 119th | 1147 |
| 12 | Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011) | 15572 | 122nd | 8387 |
| 13 | GDP (Crores. RBI SCB 2023) | 27789 | 134th | 5118 |
| 14 | Number of Households with Internet (No, Census 2011) | 10634 | 150th | 5988 |
| 15 | Number of Households with rented houses (No, Census 2011) | 37627 | 168th | 4597 |
| 16 | Bank Deposit-Bank Loans (Crores, RBI SCB 2024) | 5533 | 308th | 5318 |
| 17 | Bank Loans/Household (Lakhs, RBI SCB 2024) | 11 | 641st | 2662 |
Pakyong
Demography Metrics
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | Sex-Ratio (1000) (%, Census 2011) | 949 | 57th | 10667 |
| 2 | Population per sq. km. (Km, Census 2011) | 1023 | 210th | 10768 |
| 3 | Decadal Growth Rate (2011) (%, Census 2011) | 19 | 339th | 9102 |
Pakyong
Education Metrics
Better than India Average-
| Sr. | Fields | India Average | Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2021) | 29 | 127th | 6659 |
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | # of Population (0-18) (No, Census 2011) | 136937 | 1st | 10525 |
| 2 | # of Total Enrolments (No, AISHE 2021) | 49523 | 2nd | 2101 |
| 3 | # of Diploma (No, AISHE 2021) | 3658 | 5th | 6795 |
| 4 | # of Enrolment in Private and Government Colleges (No, AISHE 2021) | 39460 | 5th | 10405 |
| 5 | # of ITIS seats (No, AISHE 2021) | 4319 | 5th | 5134 |
| 6 | # of Master's Enrolment (No, AISHE 2021) | 6788 | 6th | 2959 |
| 7 | # of UG Enrolments - Teaching (No, AISHE 2021) | 1920 | 9th | 3093 |
| 8 | # of Bachelor's Enrolment (No, AISHE 2021) | 44296 | 17th | 5890 |
| 9 | # of UG Enrolments - Engg (No, AISHE 2021) | 3322 | 34th | 10667 |
| 10 | Population (18-24) (Number, 2023) | 208496 | 36th | 8336 |
| 11 | # of No. of Schools (No, UDISE 2023) | 1915 | 42nd | 1858 |
| 12 | # of UG Enrolments - Science (No, AISHE 2021) | 6151 | 169th | 10834 |
| 13 | # of PG Enrolments - Science (No, AISHE 2021) | 1085 | 169th | 5013 |
Pakyong
Governance Metrics
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | Number of Police Stations (NO, IPC 2020) | 22 | 27th | 8235 |
| 2 | Number of Panchayats (Number , Census 2011) | 745 | 82nd | 8974 |
| 3 | Sanctioned Police Force Number (NO, IPC 2020) | 1416 | 409th | 10559 |
Pakyong
Internet Metrics
Better than India Average-
| Sr. | Fields | India Average | Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | City FB Users % of City Literate Population (%, FB 2025) | 106 | 1st | 6169 |
| 2 | Urban Internet Pop/City Pop (%, TRAI December 2024) | 122 | 99th | 3377 |
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | Number of Internet Connections (No, TRAI 2024) | 411790 | 2nd | 8865 |
| 2 | Linkedin Audience Size(No, Linked in May, 2025) | 135164 | 127th | 5338 |
| 3 | Number of Facebook Users. (Estimated Maximum)(No, May 2025) | 172612 | 174th | 2865 |
| 4 | English Speakers (Second Language + Third Language (No, Census 2011) | 162759 | 700th | 4067 |
Pakyong
Language Metrics
Better than India Average-
| Sr. | Fields | India Average | Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | Literacy (%, Census 2023)Estd | 78 | 107th | 5876 |
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | DHQ Mother Tongue Population (No, Census 2011) | 254303 | 2nd | 6538 |
| 2 | English Multilingual Population | 50193 | 3rd | 8419 |
| 3 | Bengali Script | 13153 | 21st | 3345 |
| 4 | Devnagri Script (Hindi) | 137058 | 21st | 4755 |
| 5 | Perso-Arabic Script (Urdu) | 33190 | 45th | 3294 |
Pakyong
Media Metrics
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | Number of Dailies or Magazines (No, RNI 2022) | 240 | 76th | 1281 |
| 2 | Total Annual Newspaper Circulation (No, RNI 2022) | 656764 | 95th | 1503 |
Pakyong
Urbanization Metrics
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | # of Households with 1 married couple | 228663 | 41st | 5655 |
| 2 | Number of households (Number , Census 2011) | 326286 | 41st | 6481 |
| 3 | # of Households with Main source of Lighting as Electricity | 222703 | 62nd | 11045 |
| 4 | Number of households having latrine facility within the premises | 156908 | 74th | 5000 |
| 5 | # of Inhabited Villages | 777 | 82nd | 2761 |
| 6 | # of Households with Location of drinking water source within premises | 154278 | 83rd | 9571 |
| 7 | # of Households with Main source of Lighting as Solar Energy | 1508 | 91st | 9604 |
| 8 | # of Households that use LPG/PNG as fuel for Cooking | 96340 | 120th | 5571 |
| 9 | # of Uninhabited Villages | 64 | 158th | 5695 |
| 10 | # of Households that use Electricity as fuel for Cooking | 566 | 406th | 1170 |
Pakyong
Work Metrics
Worse than India Average-
| Sr. | Fields | India Average | Worst Rank out of 768 | City / District Data |
|---|---|---|---|---|
| 1 | State Govt Jobs(Formal) DHQ,2023 | 14249 | 3rd | 5463 |
| 2 | Informal Jobs(DHQ),2023 | 56813 | 4th | 3901 |
| 3 | Formal Jobs(DHQ),2023 | 37084 | 13th | 3804 |
| 4 | Informal Jobs(Dist.),2023 | 626770 | 41st | 8682 |
| 5 | State Govt Jobs(Formal) Dist.,2023 | 23664 | 571st | 10649 |
| 6 | Formal Jobs(Dist.),2023 | 25014 | 582nd | 8892 |
languages
City (district
capitals)/DHQ
- 1. Nepali : 42
- 2. English Multilingual Population : 30
- 3. Hindi : 13
Number Of Languages spoken by more then 30K Population : 0
Basic Details
| City (District Capitals)/DHQ
Population : |
: | 72 |
|---|---|---|
| City(District Capitals)/DHQ Population (Rank) |
: | 768th |
| District Area (km2) |
: | 404 |
| District Area (Rank) |
: | 734th |
| No.of Towns
in District |
: | 0 |
| No. of Villages
in District |
: | 29 |
Frequently Asked Questions :
Q - Why is all Prarang India comparative analysis being done for 768 Districts & their
respective
D.H.Q. (District Head Quarter) towns?
A - The Indian geography has historically been measured by " Districts". Today, it is
politically
managed by States & U.T.s ( Union Territories) but the unit of measurement ( Census
baseline)
continues to focus on the District, for over 150 years now. " All India" thus is a sum of the
district
parts i.e. sum of 768 districts currently ( which were 640 districts only, when the last Census
took
place in 2011). Contrary to popular perception, most data being reported at a State & U.T.
level, is
not being aggregated from underlying data at an urban (towns) & rural(villages) level. India
has
approx. 9000 towns & 600000 villages, segregated into 768 districts, each with its
respective
DHQ
(District Head Quarter) town. Except for the largest 20 towns ( Metropolitan agglomerations)
where
some detailed data is gathered by the Central Government census, only basic demographic details
are available for India's cities. Detailed survey results of the District are the most important
data
points, used to model & estimate the City & State level information in India. The 768
DHQ (
District
Head Quarter) towns & 8 Union Territories, are the important Urban metrics available in
India,
for
comparative analysis. Big data of a big & diverse country.
Q - Does Prarang do surveys to collect data ? How does Prarang have such granular district level details which no private or public data source offers ?
A - Prarang does not do surveys to collect data. We mostly use Public sources of data - both government census, surveys, reports and private surveys whose results are available in news media & public websites. We follow a three-fold Indian logic ( Tarkashastra) method of information/data classification - We collect Pramana ( Evidence based i.e. Census, Reliable Surveys etc) data & then do Anumana ( Estimation modelling ) to Geo tag fill data in the residual Districts/DHQ (District HQ), to ensure data completion for "All India". We then do Upamana ( comparison) i.e. rank all districts/DHQs for a relative comparison. For each data field, the Samana ( Country Average) is calculated to again rank all districts/DHQs on Rank Above or Rank Below the Samana/Average. All our data sources, and our estimation modeling methods are transparently shared on each data field title , and can be accessed by clicking on the "i" icon.
Q - What data does Prarang offer for free & what do we have to pay for ? How do we pay & will an invoice with GST details be available on payment ?
A - All Upamana ( comparison ranks of India locations) is available for free. Currently, ranks for each of the 768 India districts/DHQs ,in over 350+ data fields , are available on Prarang Analytics. There are 3 India Analytic products ( India Market Planner, India Ad Planner & India Development Planner) with respective Standard data-field available for free comparison & free sharing, for a limited period of time. But one can optionally add any of the additional data fields ( absolute data) & juxtapose them for download against the standard data-fields, for a charge. Depending on how many Cities/Districts & how many optional data-fields are selected, your cart will reflect the total amount required to be paid. Payment can be done using the payment gateway, in the final step. An invoice with GST details will be auto-generated on successful payment.
Q - Does Prarang take responsibility for the absolute data fields which we buy from it, along with the calculation of the associated ranks ?
A - Prarang does not do any surveys. It does data modelling & estimations on the basis of the third- party census & surveys, already in the public domain. It also shares the source of the data it uses. Users need to make their own judgement of how, for what purpose & when they use the data which they download from this Prarang website.
Q - What is the frequency of data update on various data-fields of Prarang analytics ?
A - We are continuously on the lookout for market announcements of new surveys & new data. You can expect important government survey results to be live on our website, within 30 to 45 days after appearing in press/media. We model on spreadsheets & update our SQL databases, after data validation. Many government sources are following a regular frequency (Eg. RBI (Reserve Bank of India) data, TRAI (Telecom Regulatory Authority of India) etc) however, many other data-fields including GDP by State & Crime Rates by State, are not being reported at a regular frequency.