Prarang: G2C

Samba Analytics

languages
City (district capitals)/DHQ

1. Dogri : 10,689
2. English Multilingual Population : 3,043
3. Hindi : 1,222

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

Basic Details

City (District Capitals)/DHQ Population :	:	12,700
City(District Capitals)/DHQ Population (Rank)	:	698^th
District Area (km²)	:	913
District Area (Rank)	:	706^th
No.of Towns in District	:	365
No. of Villages in District	:	469

What is A.I.? FAQ

Samba Highlights: India City/Districts Comparison

Samba is the 698^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Samba District in Jammu and Kashmir State. Samba District is 666^th highest ranked in population & 706^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Samba 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 % of Household with Mobiles (%, Census 2011) of Indian city (district capitals)/districts is 51. Samba is the 32^nd highest ranked city out of 768 city/districts. This indicates that economic condition of people in this district is better compared to people in other districts.

3.
Out of 768 District Capitals/Districts of India, Samba is the 74^th highest ranked in City FB Users % of City Literate Population (%, FB 2022) . This indicates higher facebook IDs in FB Advertising module for this town vis a vis other towns.

4.
Out of 768 District Capitals/Districts of India Samba is the 460^th best ranked in Number of Missing Persons (NO, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Samba is the 349^th best ranked in Number of IPC Crimes (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 Murders (NO, IPC 2020) of Indian City(District Capitals)/Districts is 25 . Samba is the 259^th best ranked City out of 768 City/Districts. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Samba is the 83^rd worst ranked in Crime/1000 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 Murder/Lakh Pop (Ratio, IPC 2020) of Indian City (District Capitals)/Districts is Samba is the 372^nd 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, Samba is the 668^th worst ranked in Linkedin Audience Size(No, Linked in Jan, 2025) .This indicates lower Linkedin IDs in Linkedin Advertising module for this town vis a vis other towns.

4.
Out of 768 District Capitals/Districts of India, Samba is the 612^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.
Samba is the 598^th 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.

Samba City/District Metrics

Culture

Nature

Internet

Samba 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	9422
Ab. Prod (Lakh tonnes) Chickpea Production	Ab. Prod (Lakh tonnes) Chickpea Production	0.05%	117^th	1975
Ab. Prod (000' tonnes ) Potatoes Production	Ab. Prod (000' tonnes ) Potatoes Production	0.01%	123^rd	11128
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.02%	176^th	4490

Samba Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Princely State	Princely State	1	Kashtwar

Airports

	Name	City	IATA Code	Distance
Airport Name	Jammu Airport	Jammu	IXJ	13 Km

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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	8676
2	No of District Hospital	1	1^st	6336
3	No of Nurses	3390	38^th	6933
4	No of Community Health Centers	9	80^th	6845
5	No of Hospital Beds	1599	173^rd	5542
6	No of Doctors	1729	233^rd	9551
7	No of Total Hospitals	59	243^rd	8945
8	No of Primary Health Centers	47	297^th	8259

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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)	51	32^nd	1648
2	No. of Banks/1000 Household (in "1000", SCB 2023)	1	102^nd	11079
3	House Ownership % of Households (%, Census 2011)	86	108^th	1847
4	GDP per Capita ('000', RBI SCB 2023)	118	126^th	6131
5	% of Households with Cars (%, Census 2011)	4	169^th	2314
6	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	27	256^th	10268

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	108^th	5581
2	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline (No, Census 2011)	57099	129^th	5636
3	Number of Households without Internet (No, Census 2011)	20983	211^th	5587
4	Number of Households with Owned houses (No, Census 2011)	280805	212^th	5064
5	Number of Banks (No, RBI SCB Q4 2022)	176	239^th	2679
6	Number of Households with Mobile only (No, Census 2011)	174173	241^st	4480
7	Number of Households with Internet (No, Census 2011)	10634	250^th	2354
8	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car (No, Census 2011)	15680	279^th	5640
9	Number of Households with means of Transport as Scooter/ Motorcycle/Moped (No, Census 2011)	69577	293^rd	1607
10	GDP (Crores. RBI SCB 2023)	27789	294^th	9516
11	Number of Households with Television (No, Census 2011)	157504	312^th	3739
12	Number of Households with means of Transport as Car/ Jeep/Van (No, Census 2011)	15572	325^th	9535
13	Bank Deposits (Crore, RBI SCB Q4 2022)	24082	348^th	5375
14	Bank Credit (Crore, RBI SCB Q4 2022)	18218	359^th	9683
15	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	5863	431^st	1896
16	Bank Loans/Household (Lakhs, RBI SCB 2023)	8	598^th	5524
17	Bank Deposit/Household (Lakhs, RBI SCB 2023)	12	612^th	5606

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	96^th	5849
2	Population per sq. km. (Km, Census 2011)	1023	360^th	2635
3	Decadal Growth Rate (2011) (%, Census 2011)	19	385^th	1410

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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	7900

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Universities (No, AISHE 2020)	1	1^st	3788
2	# of UG Enrolments - Science (No, AISHE 2020)	6311	1^st	7597
3	# of PG Enrolments - Science (No, AISHE 2020)	1015	1^st	3228
4	# of Enrolment in Private and Government Colleges (No, AISHE 2020)	36821	63^rd	3755
5	# of Colleges (No, AISHE 2020)	56	64^th	2787
6	# of Bachelor's Enrolment (No, AISHE 2020)	42477	65^th	8928
7	# of UG Enrolments - Engg (No, AISHE 2020)	5379	67^th	4282
8	# of PG Enrolments - Engg (No, AISHE 2020)	250	67^th	3621
9	# of ITIS seats (No, AISHE 2020)	4706	69^th	3078
10	# of Population (0-18) (No, Census 2011)	136937	75^th	8670
11	# of PG Enrolments - Arts (No, AISHE 2020)	1087	75^th	2342
12	# of Total Enrolments (No, AISHE 2020)	49523	76^th	8218
13	# of UG Enrolments - Arts (No, AISHE 2020)	9152	76^th	9167
14	# of UG Enrolments - Law (No, AISHE 2020)	654	87^th	8775
15	# of UG Diploma Enrolments (No, AISHE 2020)	334	89^th	4446
16	# of Diploma (No, AISHE 2020)	3877	90^th	4747
17	# of Master's Enrolment (No, AISHE 2020)	6137	93^rd	1654
18	Population (18-24) (Number, 2023)	208496	99^th	10670
19	# of PG Enrolments - Management (No, AISHE 2020)	591	136^th	3647
20	# of Ph.D Enrolments (No, AISHE 2020)	275	139^th	6085
21	# of UG Enrolments - Management (No, AISHE 2020)	719	139^th	5278
22	# of UG Enrolments - Teaching (No, AISHE 2020)	2447	148^th	2399
23	# of UG Enrolments - Medical (No, AISHE 2020)	358	150^th	4172
24	# of No. of Schools (No, UDISE 2021)	1937	173^rd	2495
25	# of PG Enrolments - Commerce (No, AISHE 2020)	344	181^st	8487
26	# of UG Enrolments - Commerce (No, AISHE 2020)	4172	184^th	8942
27	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years) (No, AISHE 2020)	28	325^th	9018

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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	189^th	8507

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations (NO, IPC 2020)	22	93^rd	9373
2	Number of Panchayats (Number , Census 2011)	745	300^th	1159

Negative Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Crime/1000 Pop (Ratio, IPC 2020)	1	83^rd	10857
2	Murder/Lakh Pop (Ratio, IPC 2020)	1	372^nd	5180

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Cyber Crimes (NO, IPC 2020)	25	1^st	9089
2	Number of Murders (NO, IPC 2020)	25	259^th	5734
3	Number of IPC Crimes (NO, IPC 2020)	2801	349^th	4421
4	Number of Missing Persons (NO, IPC 2020)	267	460^th	1990

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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	74^th	4549
2	Urban Internet Pop/City Pop (%, TRAI June 2023)	165	171^st	7130

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Internet Connections (No, TRAI 2023)	593683	90^th	6608
2	English Speakers (Second Language + Third Language (No, Census 2011)	187044	108^th	4163
3	Number of Facebook Users. (Estimated Maximum)(No, Dec. 2024)	1065262	203^rd	6967
4	Linkedin Audience Size(No, Linked in Jan, 2025)	132859	668^th	9983

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Literacy (%, Census 2023)Estd	78	188^th	1252

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Latin Script (English)	2647	1^st	4192
2	Script Pools # < 30, 000	1	1^st	10282
3	Perso-Arabic Script (Urdu)	33190	58^th	6113
4	DHQ Mother Tongue Population (No, Census 2011)	254303	108^th	6021
5	English Multilingual Population	50193	151^st	2423
6	Gujarati Script	25953	283^rd	5581
7	Bengali Script	13153	304^th	4905
8	Telugu Script	39429	327^th	5023
9	Devnagri Script (Hindi)	137058	362^nd	4571
10	Assamese Script	3229	402^nd	4035
11	Odia Script	5442	407^th	5706
12	Tamil Script	23886	411^th	9747
13	Malayalam Script	6112	450^th	3376
14	Marathi Script	27903	503^rd	7339
15	Kannada Script	23603	513^th	5858
16	Gurumukhi Script (Punjabi)	10774	518^th	7433

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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	4043
2	Number of Dailies or Magazines (No, RNI 2020)	221	164^th	10683
3	Total Annual Newspaper Circulation (No, RNI 2020)	596633	209^th	1998

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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	566	1^st	6432
2	# of Households with Main source of Lighting as Solar Energy	1508	127^th	10267
3	Number of households having latrine facility within the premises	156908	188^th	9445
4	Urban Population (Number , Census 2011)	531234	201^st	6515
5	Number of households (Number , Census 2011)	326286	203^rd	7075
6	# of Households with 1 married couple	228663	208^th	2732
7	# of Households with Main source of Lighting as Electricity	222703	284^th	9075
8	# of Inhabited Villages	777	299^th	8292
9	# of Households with Location of drinking water source within premises	154278	305^th	2882
10	Number of towns (Number , Census 2011)	10	368^th	7632
11	Urbanization (% , Census 2011)	26	373^rd	4303
12	# of Households that use LPG/PNG as fuel for Cooking	96340	388^th	9515
13	# of Uninhabited Villages	64	464^th	2068

Negative Metrics:

Population: 12,700 | Population Rank: 698^th

Area (KM²): 913 | Area Rank: 706^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	9828
2	Central PSU Jobs(Formal),2023	1938	1^st	5472
3	Private Jobs(Formal),2023	15104	1^st	9453
4	# of Companies,2023	1876	82^nd	8186
5	Informal Jobs(DHQ),2023	56813	92^nd	8333
6	Informal Jobs(Dist.),2023	626770	104^th	2591
7	State Govt Jobs(Formal) DHQ,2023	14249	184^th	5285
8	Formal Jobs(DHQ),2023	37084	193^rd	10921
9	State Govt Jobs(Formal) Dist.,2023	23664	264^th	4498
10	Formal Jobs(Dist.),2023	25014	274^th	11088

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.