Prarang: G2C

Kishtwar Analytics

languages
City (district capitals)/DHQ

1. Kashmiri : 12,252
2. English Multilingual Population : 3,562
3. Hindi : 1,166

Number Of Languages spoken by more then 30K Population : 0

Basic Details

City (District Capitals)/DHQ Population :	:	14,865
City(District Capitals)/DHQ Population (Rank)	:	683^rd
District Area (km²)	:	7,737
District Area (Rank)	:	88^th
No.of Towns in District	:	610
No. of Villages in District	:	562

What is A.I.? FAQ

Kishtwar Highlights: India City/Districts Comparison

Kishtwar is the 683^rd ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Kishtwar District in Jammu and Kashmir State. Kishtwar District is 684^th highest ranked in population & 88^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Kishtwar is the 3^rd highest ranked in # of Higher Education Enrolments % of Pop (No, UDISE 2021) out of 768 city/districts of India. This indicates that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

2.
The average House Ownership % of Households (%, Census 2011) of Indian city (district capitals)/districts is 86. Kishtwar is the 12^th highest ranked city out of 768 city/districts. This implies that economic activies in this district is more compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Kishtwar is the 40^th highest ranked in # of Households with Main source of Lighting as Solar Energy . This indicates that the government has placed a greater emphasis on green energy in this district compared to other districts.

4.
Out of 768 District Capitals/Districts of India Kishtwar is the 419^th best ranked in Number of Cyber Crimes (NO, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Kishtwar is the 380^th best ranked in Number of Missing Persons (NO, IPC 2020) out of 768 City/Districts of India. This indicates a safer district as compared to other districts.

6.
The Average Number of IPC Crimes (NO, IPC 2020) of Indian City(District Capitals)/Districts is 2801 . Kishtwar is the 299^th best ranked City out of 768 City/Districts. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Kishtwar is the 189^th worst ranked in Murder/Lakh Pop (Ratio, IPC 2020) out of 768 city/districts of India. This implies lesser effectiveness of law and order in this district compared to other districts.

2.
The Average Crime/1000 Pop (Ratio, IPC 2020) of Indian City (District Capitals)/Districts is Kishtwar is the 333^rd worst ranked City out of 768 City/Districts.This implies lesser effectiveness of law and order in this district compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Kishtwar is the 498^th worst ranked in GDP per Capita ('000', RBI SCB 2023) .This indicates poor development in this district compared to other districts.

4.
Out of 768 District Capitals/Districts of India, Kishtwar is the 494^th worst ranked in Bank Deposit/Household (Lakhs, RBI SCB 2023) .This implies that financial activities in this district are less compared to other districts.

5.
Kishtwar is the 472^nd highest ranked in Bank Loans/Household (Lakhs, RBI SCB 2023) out of 768 City/Districts of India.This implies that standard of living of people in this district is poor compared to other districts.

Kishtwar City/District Metrics

Culture

Nature

Internet

Kishtwar Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (000' tonnes) Banana Production	Ab. Prod (000' tonnes) Banana Production	0.02%	18^th	5241
Ab. Prod (Lakh tonnes) Chickpea Production	Ab. Prod (Lakh tonnes) Chickpea Production	0.05%	117^th	2334
Ab. Prod (000' tonnes ) Potatoes Production	Ab. Prod (000' tonnes ) Potatoes Production	0.01%	123^rd	6227
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.02%	176^th	7279

Kishtwar Culture Highlights

Sr.No	Culture Metrics	Counts	Name

Airports

	Name	City	IATA Code	Distance
Airport Name	Jammu Airport	Jammu	IXJ	70 Km

No Data found.

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Sub Divisional Hospital	1	1^st	3465
2	No of District Hospital	1	1^st	9542
3	No of Nurses	3390	27^th	11062
4	No of Community Health Centers	9	80^th	7716
5	No of Hospital Beds	1599	141^st	7105
6	No of Total Hospitals	59	173^rd	3783
7	No of Doctors	1729	184^th	10472
8	No of Primary Health Centers	47	215^th	10279

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	House Ownership % of Households (%, Census 2011)	86	12^th	8656
2	No. of Banks/1000 Household (in "1000", SCB 2023)	1	102^nd	3062
3	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	27	282^nd	9287

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Households with rented houses (No, Census 2011)	37627	49^th	10355
2	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	78^th	5069
3	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	96^th	10625
4	Number of Households with Television (No, Census 2011)	157504	114^th	6224
5	Number of Households without Internet (No, Census 2011)	20983	115^th	6155
6	Number of Households with Internet (No, Census 2011)	10634	117^th	9464
7	Number of Banks (No, RBI SCB Q4 2022)	176	120^th	4432
8	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	124^th	9520
9	GDP (Crores. RBI SCB 2023)	27789	138^th	10324
10	Number of Households with Mobile only (No, Census 2011)	174173	139^th	8847
11	% of Household with Mobiles (%, Census 2011)	51	149^th	10124
12	Bank Deposits (Crore, RBI SCB Q4 2022)	24082	179^th	9186
13	Bank Credit (Crore, RBI SCB Q4 2022)	18218	179^th	6807
14	Number of Households with Owned houses (No, Census 2011)	280805	184^th	8658
15	% of Households with Cars (%, Census 2011)	4	245^th	4815
16	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	292^nd	3071
17	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	5863	307^th	1339
18	Bank Loans/Household (Lakhs, RBI SCB 2023)	8	472^nd	4215
19	Bank Deposit/Household (Lakhs, RBI SCB 2023)	12	494^th	2203
20	GDP per Capita ('000', RBI SCB 2023)	118	498^th	5482

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Decadal Growth Rate (2011) (%, Census 2011)	19	242^nd	4262

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Population per sq. km. (Km, Census 2011)	1023	118^th	4549
2	Sex-Ratio (1000) (%, Census 2011)	949	221^st	7823

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Higher Education Enrolments % of Pop (No, UDISE 2021)	0	3^rd	2207

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Universities (No, AISHE 2020)	1	1^st	4158
2	# of UG Enrolments - Science (No, AISHE 2020)	6311	1^st	1557
3	# of PG Enrolments - Science (No, AISHE 2020)	1015	1^st	1340
4	# of Colleges (No, AISHE 2020)	56	64^th	6942
5	# of PG Enrolments - Engg (No, AISHE 2020)	250	67^th	6499
6	# of UG Enrolments - Engg (No, AISHE 2020)	5379	71^st	5511
7	# of Enrolment in Private and Government Colleges (No, AISHE 2020)	36821	73^rd	7692
8	# of ITIS seats (No, AISHE 2020)	4706	73^rd	1410
9	# of Bachelor's Enrolment (No, AISHE 2020)	42477	76^th	8749
10	# of UG Enrolments - Arts (No, AISHE 2020)	9152	81^st	2296
11	# of PG Enrolments - Arts (No, AISHE 2020)	1087	81^st	1708
12	# of Total Enrolments (No, AISHE 2020)	49523	86^th	7000
13	# of Population (0-18) (No, Census 2011)	136937	93^rd	11209
14	# of Diploma (No, AISHE 2020)	3877	98^th	9829
15	# of UG Enrolments - Law (No, AISHE 2020)	654	98^th	10504
16	# of UG Diploma Enrolments (No, AISHE 2020)	334	105^th	10312
17	Population (18-24) (Number, 2023)	208496	108^th	7438
18	# of Master's Enrolment (No, AISHE 2020)	6137	112^th	9137
19	# of No. of Schools (No, UDISE 2021)	1937	122^nd	4855
20	# of PG Enrolments - Management (No, AISHE 2020)	591	138^th	5060
21	# of UG Enrolments - Management (No, AISHE 2020)	719	145^th	6430
22	# of Ph.D Enrolments (No, AISHE 2020)	275	153^rd	4168
23	# of UG Enrolments - Medical (No, AISHE 2020)	358	159^th	7340
24	# of UG Enrolments - Teaching (No, AISHE 2020)	2447	166^th	7839
25	# of PG Enrolments - Commerce (No, AISHE 2020)	344	187^th	3813
26	# of UG Enrolments - Commerce (No, AISHE 2020)	4172	189^th	7157
27	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2020)	28	325^th	6488

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Sanctioned Police Force Number (NO, IPC 2020)	1416	251^st	2053

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations (NO, IPC 2020)	22	60^th	3777
2	Number of Panchayats (Number , Census 2011)	745	207^th	10631

Negative Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Murder/Lakh Pop (Ratio, IPC 2020)	1	189^th	1146
2	Crime/1000 Pop (Ratio, IPC 2020)	1	333^rd	11153

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Murders (NO, IPC 2020)	25	288^th	10665
2	Number of IPC Crimes (NO, IPC 2020)	2801	299^th	9035
3	Number of Missing Persons (NO, IPC 2020)	267	380^th	7593
4	Number of Cyber Crimes (NO, IPC 2020)	25	419^th	9883

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	City FB Users % of City Literate Population (%, FB 2022)	134	166^th	10713
2	Urban Internet Pop/City Pop (%, TRAI June 2023)	165	208^th	3328

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Internet Connections (No, TRAI 2023)	593683	105^th	1843
2	English Speakers (Second Language + Third Language (No, Census 2011)	187044	132^nd	5832
3	Number of Facebook Users. (Estimated Maximum)(No, Dec. 2024)	1065262	160^th	10741
4	Linkedin Audience Size(No, Linked in Jan, 2025)	132859	327^th	3206

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Script Pools # < 30, 000	1	1^st	7891
2	Literacy (%, Census 2023)Estd	78	38^th	4492
3	DHQ Mother Tongue Population (No, Census 2011)	254303	125^th	10667
4	English Multilingual Population	50193	172^nd	11143
5	Perso-Arabic Script (Urdu)	33190	195^th	9082
6	Gujarati Script	25953	292^nd	3801
7	Latin Script (English)	2647	314^th	8361
8	Bengali Script	13153	333^rd	6841
9	Malayalam Script	6112	351^st	3582
10	Devnagri Script (Hindi)	137058	381^st	7178
11	Marathi Script	27903	381^st	6227
12	Odia Script	5442	412^th	3765
13	Telugu Script	39429	430^th	4758
14	Tamil Script	23886	435^th	3793
15	Kannada Script	23603	436^th	3863
16	Gurumukhi Script (Punjabi)	10774	467^th	5648
17	Assamese Script	3229	569^th	3886

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres (No, BOC 2020)	22	1^st	8264
2	Number of Dailies or Magazines (No, RNI 2020)	221	134^th	6331
3	Total Annual Newspaper Circulation (No, RNI 2020)	596633	179^th	1214

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Households with Main source of Lighting as Solar Energy	1508	40^th	7337

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	566	1^st	5031
2	Number of towns (Number , Census 2011)	10	54^th	8840
3	Urban Population (Number , Census 2011)	531234	92^nd	8854
4	Number of households having latrine facility within the premises	156908	101^st	4592
5	# of Households that use LPG/PNG as fuel for Cooking	96340	117^th	4847
6	Urbanization (% , Census 2011)	26	127^th	1969
7	# of Households with Location of drinking water source within premises	154278	145^th	5077
8	# of Households with Main source of Lighting as Electricity	222703	145^th	10078
9	# of Uninhabited Villages	64	158^th	3530
10	Number of households (Number , Census 2011)	326286	165^th	5083
11	# of Households with 1 married couple	228663	175^th	3326
12	# of Inhabited Villages	777	206^th	6333

Negative Metrics:

Population: 14,865 | Population Rank: 683^rd

Area (KM²): 7,737 | Area Rank: 88^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Central Govt Jobs(Formal),2023	6050	1^st	5536
2	Central PSU Jobs(Formal),2023	1938	1^st	2949
3	Private Jobs(Formal),2023	15104	1^st	7978
4	Informal Jobs(Dist.),2023	626770	79^th	6046
5	# of Companies,2023	1876	90^th	6697
6	Informal Jobs(DHQ),2023	56813	102^nd	9762
7	State Govt Jobs(Formal) Dist.,2023	23664	189^th	10628
8	Formal Jobs(Dist.),2023	25014	199^th	2182
9	State Govt Jobs(Formal) DHQ,2023	14249	221^st	7039
10	Formal Jobs(DHQ),2023	37084	230^th	7250

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.