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Knowledge Webs for Smarter Governance

PRARANG

Knowledge Webs for Smarter Governance

Pakyong Analytics

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	:	716
No. of Villages in District	:	685

What is A.I.? FAQ

Pakyong Highlights: India City/Districts Comparison

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 732^nd highest ranked in population & 734^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Pakyong is the 11^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.

2.
The average Urban Internet Pop/City Pop(%, TRAI June 2023) of Indian city (district capitals)/districts is 165. Pakyong is the 21^st highest ranked city out of 768 city/districts. This indicates higher number of state urban internet users as reported in TRAI quarterly report vis a vis other state's urban internet users.

3.
Out of 768 District Capitals/Districts of India, Pakyong is the 57^th highest ranked in No. of Banks/1000 Household(in "1000", SCB 2023) . This indicates that banking infrastructure is stronger in this district compared to other districts.

Worse than India Average-

1.
Pakyong is the 672^nd worst ranked in Number of Central Government Jobs (Number,DOE Annual Report 2018) out of 768 city/districts of India. This indicates that this is an important district /or highly urbanised district.

2.
The Average Number of Internet Connections(No, TRAI 2023) of Indian City (District Capitals)/Districts is Pakyong is the 628^th worst ranked City out of 768 City/Districts.This indicates higher number of state urban internet users as reported in TRAI quarterly report vis a vis other state's urban internet users.

3.
Out of 768 District Capitals/Districts of India, Pakyong is the 627^th worst ranked in English Speakers (Second Language + Third Language(No, Census 2011) .This indicates a higher pool of literate english population compared to other cities.

Pakyong City/District Metrics

Culture

Nature

Internet

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.

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Hospital Beds	1381	348^th	10666
2	No of Doctors	1634	413^th	5517
3	No of Primary Health Centers	47	425^th	9264
4	No of Total Hospitals	59	425^th	9547
5	No of Nurses	3328	450^th	1583

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	% of Household with Mobiles(%, Census 2011)	49	11^th	8433
2	No. of Banks/1000 Household(in "1000", SCB 2023)	1	57^th	6543
3	% of Households with Cars(%, Census 2011)	4	78^th	7639
4	GDP per Capita ('000', RBI SCB 2023)	153	84^th	7226

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	74^th	5816
2	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	119^th	5614
3	House Ownership % of Households(%, Census 2011)	84	217^th	5195
4	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	362^nd	9403
5	Number of Households with Owned houses(No, Census 2011)	273858	422^nd	6379
6	Number of Households with Mobile only(No, Census 2011)	169864	423^rd	5620
7	Number of Households with rented houses(No, Census 2011)	36696	429^th	2513
8	Number of Households without Internet(No, Census 2011)	20464	448^th	7430
9	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	449^th	4539
10	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	466^th	3033
11	Number of Households with Television(No, Census 2011)	153607	468^th	10378
12	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	479^th	1210
13	Number of Households with Internet(No, Census 2011)	10371	481^st	10709
14	Number of Banks(No, RBI SCB Q4 2022)	221	493^rd	1696
15	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	498^th	8485
16	GDP (Crores. RBI SCB 2023)	38608	525^th	6207
17	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	604^th	7491
18	Bank Credit(Crore, RBI SCB Q4 2022)	37411	626^th	8687

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Decadal Growth Rate (2011) (%, Census 2011)	19	140^th	9010
2	Sex-Ratio (1000) (%, Census 2011)	949	304^th	5868
3	Population per sq. km. (Km, Census 2011)	1017	444^th	3893

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	85^th	5145

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of No. of Schools(No, UDISE 2021)?	1937	411^th	9355
2	# of PG Enrolments - Science(No,AISHE 2020)	1015	459^th	5231
3	# of UG Enrolments - Science(No,AISHE 2020)	6311	461^st	2328
4	Population (18-24) (Number, 2023)	208496	570^th	3979
5	# of UG Enrolments - Engg(No,AISHE 2020)	5379	576^th	3646
6	# of ITIS seats(No,AISHE 2020)	4706	604^th	7405
7	# of Diploma(No,AISHE 2020)	3877	605^th	5812
8	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	611^th	3760
9	# of Master's Enrolment(No,AISHE 2020)	6137	614^th	3776
10	# of Total Enrolments(No,AISHE 2020)	49523	614^th	7675
11	# of Bachelor's Enrolment(No,AISHE 2020)	42477	617^th	5261
12	# of Population (0-18)(No,Census 2011)	136937	626^th	9500

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sanctioned Police Force Number(NO, IPC 2020)	1416	70^th	1781
2	Number of Panchayats(Number , Census 2011)	745	365^th	6105
3	Number of Police Stations(NO, IPC 2020)	22	440^th	6034

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	21^st	10812

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Facebook Users. (Estimated Maximum)(No, FB 2024)	177404	481^st	2179
2	Linkedin Audience Size(No, Linked in 2024)	114666	571^st	6067
3	English Speakers (Second Language + Third Language(No, Census 2011)	187044	627^th	8141
4	Number of Internet Connections(No, TRAI 2023)	593683	628^th	2081

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Literacy (%, Census 2023)Estd	78	127^th	10956

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Devnagri Script (Hindi)	137058	597^th	9056
2	Perso-Arabic Script (Urdu)	33190	600^th	4753
3	DHQ Mother Tongue Population (No, Census 2011)	254303	616^th	8205
4	English Multilingual Population	50193	630^th	11124
5	Bengali Script	13153	661^st	10156

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Dailies or Magazines(No, RNI 2020)	222	414^th	6542
2	Total Annual Newspaper Circulation(No, RNI 2020)	597414	450^th	6866

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Households that use Electricity as fuel for Cooking	282	161^st	9576
2	# of Inhabited Villages	747	364^th	10417
3	# of Uninhabited Villages	54	388^th	5840
4	Number of households(Number , Census 2011)	318214	430^th	1416
5	# of Households with Location of drinking water source within premises	150461	436^th	8774
6	# of Households with 1 married couple	223006	440^th	7142
7	# of Households that use LPG/PNG as fuel for Cooking	93956	446^th	4452
8	# of Households with Main source of Lighting as Electricity	217194	457^th	1922
9	Number of households having latrine facility within the premises	153026	462^nd	6119
10	# of Households with Main source of Lighting as Solar Energy	1378	467^th	5934

Negative Metrics:

Population: 72 | Population Rank: 768^th

Area (KM²): 404 | Area Rank: 734^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Working Population 2023(Number,Census 2011)	1121530	419^th	7806
2	Govt Jobs as a % of Working Population(%,DPE 2022)	2	516^th	7090
3	Formal Jobs as a % of working Pop(%,DPE 2022)	2	550^th	4807
4	Number of State Government Jobs	25127	608^th	2308
5	Number of Formal Jobs(Sum,DPE 2022)	62963	623^rd	1760
6	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	624^th	7945
7	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	672^nd	3196

Negative Metrics:

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.