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Pakyong AI Report

Date: October 22, 2025

Pakyong city, located in Sikkim, has 10% of the state's population. The nearest airport is Bagdogra Airport in Siliguri, located 42 Km away.

Pakyong is the 768^th 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 ranked 739^th in population and 734^th in area across India.

Pakyong City FB Users % of City Literate Population (%, FB 2025) में 768 शहरों/जिलों में से 2^nd सर्वश्रेष्ठ रैंक पर है। This indicates higher facebook IDs in FB Advertising module for this town vis a vis other towns.

Pakyong is the 9^th 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 Literacy (%, Census 2023)Estd में 768 शहरों/जिलों में से 107^th सर्वश्रेष्ठ रैंक पर है। This indicates a good ratio of educational institute to population.

City FB Users % of City Literate Population (%, FB 2025)

City FB Users % of City Literate Population (%, FB 2025)

% of Household with Mobiles (%, Census 2011)

% of Household with Mobiles (%, Census 2011)

Literacy (%, Census 2023)Estd

Literacy (%, Census 2023)Estd

Bank Loans/Household (Lakhs, RBI SCB 2025)

Bank Loans/Household (Lakhs, RBI SCB 2025)

Formal Jobs(Dist.),2023

Formal Jobs(Dist.),2023

Sanctioned Police Force Number (NO, IPC 2020)

Sanctioned Police Force Number (NO, IPC 2020)

Out of 768 District Capitals/Districts of India, Pakyong is the 641^st worst ranked in Bank Loans/Household (Lakhs, RBI SCB 2025) . This implies that standard of living of people in this district is poor compared to other districts.

Out of 768 District Capitals/Districts of India, Pakyong is the 582^nd worst ranked in Formal Jobs(Dist.),2023 . This implies low private sector growth.

The Average Sanctioned Police Force Number (NO, IPC 2020) of Indian City (District Capitals)/Districts is 1416. Pakyong is the 409^th worst ranked City out of 768 City/Districts. This implies that this district has a poor police infrastructure compared to other districts.

Pakyong City/District Metrics

Culture

Nature

Internet

Pakyong Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data

Pakyong Culture message.info.Highlights

Sr.No	संस्कृति आंकड़े	गिनती (Counts)	नाम

Airports

	नाम	City	IATA Code	Distance
Airport Name	Bagdogra Airport	Siliguri	IXB	42 Km

No Data found.

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	No of Primary Health Centers	48	25^th	3898
2	No of Total Hospitals	61	26^th	1738
3	No of Hospital Beds	1470	28^th	2879
4	No of Nurses	3392	88^th	6178
5	No of Doctors	1795	110^th	9161

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Better than India Average

Sr.No	Fields	India Average	Rank out of 768	City / District Data
1	GDP per Capita ('000', RBI SCB 2023)	118	78^th	10644
2	% of Households with Cars (%, Census 2011)	4	78^th	7218
3	% of Household with Mobiles (%, Census 2011)	51	9^th	8404
4	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2025)	23	272^nd	3022
5	No. of Banks/1000 Household (in 1000, RBI SCB 2025)	1	34^th	3521
6	Bank Deposit/Household (Lakhs, RBI SCB 2025)	14	79^th	7546

Worse than India Average

Sr.No	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	33^rd	1287
2	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	34^th	6859
3	Number of Households with Owned houses (No, Census 2011)	280805	36^th	4382
4	House Ownership % of Households (%, Census 2011)	86	36^th	6980
5	Number of Households with Mobile only (No, Census 2011)	174173	68^th	4204
6	Number of Households without Internet (No, Census 2011)	20983	69^th	3001
7	Number of Households with Television (No, Census 2011)	157504	69^th	6274
8	Bank Credit (Crore, RBI SCB Q1 2025)	24430	100^th	1638
9	Number of Banks (No, RBI SCB Q1 2025)	190	102^nd	8205
10	Bank Deposits (Crore, RBI SCB Q1 2025)	30899	103^rd	5621
11	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	119^th	2907
12	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	122^nd	2983
13	GDP (Crores. RBI SCB 2023)	27789	134^th	7496
14	Number of Households with Internet (No, Census 2011)	10634	150^th	7491
15	Number of Households with rented houses (No, Census 2011)	37627	168^th	2142
16	Bank Deposit-Bank Loans (Crores, RBI SCB 2025)	5533	308^th	4374
17	Bank Loans/Household (Lakhs, RBI SCB 2025)	11	641^st	4441

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	Sex-Ratio (1000) (%, Census 2011)	949	57^th	1499
2	Population per sq. km. (Km, Census 2011)	1023	210^th	10655
3	Decadal Growth Rate (2011) (%, Census 2011)	19	339^th	4158

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Better than India Average

Sr.No	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	127^th	10267

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	# of Population (0-18) (No, Census 2011)	136937	1^st	9646
2	# of Total Enrolments (No, AISHE 2021)	49523	2^nd	8757
3	# of Diploma (No, AISHE 2021)	3658	5^th	2558
4	# of Enrolment in Private and Government Colleges (No, AISHE 2021)	39460	5^th	2896
5	# of ITIS seats (No, AISHE 2021)	4319	5^th	6069
6	# of Master's Enrolment (No, AISHE 2021)	6788	6^th	9209
7	# of UG Enrolments - Teaching (No, AISHE 2021)	1920	9^th	11035
8	# of Bachelor's Enrolment (No, AISHE 2021)	44296	17^th	2634
9	# of UG Enrolments - Engg (No, AISHE 2021)	3322	34^th	10660
10	Population (18-24) (Number, 2023)	208496	36^th	8630
11	# of No. of Schools (No, UDISE 2023)	1915	42^nd	2258
12	# of UG Enrolments - Science (No, AISHE 2021)	6151	169^th	3931
13	# of PG Enrolments - Science (No, AISHE 2021)	1085	169^th	7879

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	Number of Police Stations (NO, IPC 2020)	22	27^th	3947
2	Number of Panchayats (Number , Census 2011)	745	82^nd	5882
3	Sanctioned Police Force Number (NO, IPC 2020)	1416	409^th	3481

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Better than India Average

Sr.No	Fields	India Average	Rank out of 768	City / District Data
1	City FB Users % of City Literate Population (%, FB 2025)	176	2^nd	8492

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	Number of Internet Connections (No, TRAI June 2025)	423076	2^nd	4732
2	English Speakers (Second Language + Third Language (No, Census 2011)	162759	3^rd	9766
3	Urban Internet Pop/City Pop (%, TRAI June 2025)	146	9^th	3069
4	Linkedin Audience Size(No, Linked in September, 2025)	147241	126^th	2919
5	Number of Facebook Users. (Estimated Maximum)(No, September 2025)	149241	167^th	8868

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Better than India Average

Sr.No	Fields	India Average	Rank out of 768	City / District Data
1	Literacy (%, Census 2023)Estd	78	107^th	1496

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	DHQ Mother Tongue Population (No, Census 2011)	254303	2^nd	3133
2	English Multilingual Population	50193	3^rd	7187
3	Bengali Script	13153	21^st	1762
4	Devnagri Script (Hindi)	137058	21^st	3226
5	Perso-Arabic Script (Urdu)	33190	45^th	2375

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	Number of Dailies or Magazines (No, RNI 2022)	240	76^th	1400
2	Total Annual Newspaper Circulation (No, RNI 2022)	656764	95^th	7369

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	# of Households with 1 married couple	228663	41^st	10077
2	Number of households (Number , Census 2011)	326286	41^st	9262
3	# of Households with Main source of Lighting as Electricity	222703	62^nd	9762
4	Number of households having latrine facility within the premises	156908	74^th	2416
5	# of Inhabited Villages	777	82^nd	5103
6	# of Households with Location of drinking water source within premises	154278	83^rd	9419
7	# of Households with Main source of Lighting as Solar Energy	1508	91^st	5141
8	# of Households that use LPG/PNG as fuel for Cooking	96340	120^th	1169
9	# of Uninhabited Villages	64	158^th	3674
10	# of Households that use Electricity as fuel for Cooking	566	406^th	5149

Population : 72 | Population Rank : 768^th

Area (KM²): 404 | Area Rank : 734^th

Worse than India Average

Sr.No	Fields	India Average	Worst Rank out of 768	City / District Data
1	State Govt Jobs(Formal) DHQ,2023	14249	3^rd	9923
2	Informal Jobs(DHQ),2023	56813	4^th	9872
3	Formal Jobs(DHQ),2023	37084	13^th	3492
4	Informal Jobs(Dist.),2023	626770	41^st	1894
5	State Govt Jobs(Formal) Dist.,2023	23664	571^st	6289
6	Formal Jobs(Dist.),2023	25014	582^nd	7909

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)	:	768^th
District Area (km²)	:	404
District Area (Rank)	:	734^th
No.of Towns in District	:	0
No. of Villages in District	:	29

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.