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Bathinda Analytics

languages
City (district capitals)/DHQ

1. Punjabi : 215,275
2. English Multilingual Population : 128,778
3. Hindi : 68,015

Number Of Languages spoken by more then 30K Population : 2

Basic Details

City (District Capitals)/DHQ Population :	:	285,788
City(District Capitals)/DHQ Population (Rank)	:	143^rd
District Area (km²)	:	3,355
District Area (Rank)	:	386^th
No.of Towns in District	:	190
No. of Villages in District	:	496

What is A.I.? FAQ

Bathinda Highlights: India City/Districts Comparison

Bathinda is the 143^rd ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Bathinda District in Punjab State. Bathinda District is 364^th highest ranked in population & 386^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Bathinda is the 6^th highest ranked in Gurumukhi Script (Punjabi) out of 768 city/districts of India. This indicates a high pool of literate punjabi population compared to other cities.

2.
The average % of Households with Cars(%, Census 2011) of Indian city (district capitals)/districts is 4. Bathinda is the 35^th highest ranked city out of 768 city/districts. This implies that standard of living of people in this district is better compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Bathinda is the 54^th highest ranked in English Multilingual Population . This implies a high pool of literate english population compared to other cities.

4.
Out of 768 District Capitals/Districts of India Bathinda is the 175^th best ranked in Number of Missing Persons(NO, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Bathinda is the 170^th best ranked in Number of Cyber Crimes(NO, IPC 2020) out of 768 City/Districts of India. This indicates a safer district as compared to other districts.

6.
The Average Crime/1000 Pop(Ratio, IPC 2020) of Indian City(District Capitals)/Districts is 1 . Bathinda is the 88^th best ranked City out of 768 City/Districts. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Bathinda is the 133^rd worst ranked in Murder/Lakh Pop(Ratio, IPC 2020) out of 768 city/districts of India. This indicates a safer district as compared to other districts.

2.
The Average Number of Murders(NO, IPC 2020) of Indian City (District Capitals)/Districts is Bathinda is the 188^th worst ranked City out of 768 City/Districts.This indicates a safer district as compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Bathinda is the 575^th worst ranked in Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee) .This indicates a comparatively high structured employment due to this location being a highly urbanised district and/or high GDP top 40 metropolis.

4.
Out of 768 District Capitals/Districts of India, Bathinda is the 380^th worst ranked in # of Uninhabited Villages .

5.
Bathinda is the 318^th highest ranked in Sex-Ratio (1000) (%, Census 2011) out of 768 City/Districts of India.This indicates a healthy ratio between men and women.

Bathinda City/District Metrics

Culture

Nature

Internet

Bathinda Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (Mn Tonnes) Sugarcane Production	Ab. Prod (Mn Tonnes) Sugarcane Production	0.04%	242^nd	7250
Ab. Prod (Mn tonnes) Rice Production	Ab. Prod (Mn tonnes) Rice Production	2.25%	325^th	3028
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	3.53%	389^th	9702

Bathinda Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Famous Forts	Famous Forts	1	Qila Mubarak
Famous Hindu Temples	Famous Hindu Temples	1	Maiser Khana
Cantt	Cantt	1	Bathinda

Airports

	Name	City	IATA Code	Distance
Airport Name	Sahnewal Airport	Ludhiana	LUH	75 Km

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of Doctors	1634	174^th	3686
2	No of Nurses	3328	219^th	6110
3	No of Sub Divisional Hospital	1	243^rd	2322
4	No of Hospital Beds	1381	245^th	7235

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Community Health Centers	9	66^th	11111
2	No of Total Hospitals	59	150^th	1976
3	No of Primary Health Centers	47	181^st	2246
4	No of District Hospital	1	208^th	2935

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	% of Households with Cars(%, Census 2011)	4	35^th	6811
2	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	70^th	2710
3	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	108^th	10361
4	% of Household with Mobiles(%, Census 2011)	49	115^th	6772
5	Number of Banks(No, RBI SCB Q4 2022)	221	119^th	3889
6	Number of Households with Internet(No, Census 2011)	10371	129^th	6505
7	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	148^th	6550
8	Number of Households with Television(No, Census 2011)	153607	172^nd	9439
9	Number of Households without Internet(No, Census 2011)	20464	237^th	7047
10	Number of Households with Mobile only(No, Census 2011)	169864	263^rd	11097
11	House Ownership % of Households(%, Census 2011)	84	416^th	6551

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Households with Owned houses(No, Census 2011)	273858	37^th	3935
2	GDP per Capita ('000', RBI SCB 2023)	153	67^th	7889
3	Bank Credit(Crore, RBI SCB Q4 2022)	37411	79^th	8618
4	Number of Households with rented houses(No, Census 2011)	36696	82^nd	7432
5	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	89^th	5318
6	No. of Banks/1000 Household(in "1000", SCB 2023)	1	100^th	9733
7	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	111^th	7645
8	GDP (Crores. RBI SCB 2023)	38608	113^th	2253
9	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	158^th	2774
10	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	169^th	6051
11	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	189^th	5054
12	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	218^th	10934

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^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	91^st	7571
2	Population per sq. km. (Km, Census 2011)	1017	237^th	2753
3	Sex-Ratio (1000) (%, Census 2011)	949	318^th	9198

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of PG Enrolments - Management(No,AISHE 2020)	591	72^nd	1745
2	# of UG Enrolments - Management(No,AISHE 2020)	719	75^th	5235
3	# of Ph.D Enrolments(No,AISHE 2020)	275	99^th	5331
4	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	109^th	10598
5	# of Diploma(No,AISHE 2020)	3877	121^st	3186
6	# of Universities(No,AISHE 2020)	1	123^rd	6925
7	# of ITIS seats(No,AISHE 2020)	4706	156^th	1315

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of PG Enrolments - Engg(No,AISHE 2020)	250	6^th	3370
2	# of UG Enrolments - Engg(No,AISHE 2020)	5379	7^th	7442
3	# of PG Enrolments - Arts(No,AISHE 2020)	1087	7^th	5853
4	# of UG Enrolments - Arts (No,AISHE 2020)	9152	8^th	10907
5	# of UG Enrolments - Law(No,AISHE 2020)	654	14^th	4905
6	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	16^th	4746
7	# of PG Enrolments - Commerce(No,AISHE 2020)	344	16^th	5527
8	# of Population (0-18)(No,Census 2011)	136937	20^th	10393
9	Population (18-24) (Number, 2023)	208496	25^th	9951
10	# of Colleges(No,AISHE 2020)	56	25^th	8897
11	# of Master's Enrolment(No,AISHE 2020)	6137	38^th	1325
12	# of Total Enrolments(No,AISHE 2020)	49523	45^th	10978
13	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	71^st	4016
14	# of UG Diploma Enrolments(No,AISHE 2020)	334	72^nd	4659
15	# of UG Enrolments - Medical(No,AISHE 2020)	358	74^th	11175
16	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	78^th	2043
17	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	87^th	10913
18	# of Bachelor's Enrolment(No,AISHE 2020)	42477	90^th	1321
19	# of No. of Schools(No, UDISE 2021)?	1937	162^nd	5182
20	# of UG Enrolments - Science(No,AISHE 2020)	6311	185^th	9924
21	# of PG Enrolments - Science(No,AISHE 2020)	1015	185^th	10433

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^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	83^rd	10571

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations(NO, IPC 2020)	22	65^th	4727
2	Number of Panchayats(Number , Census 2011)	745	175^th	10446

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	133^rd	10346
2	Number of Murders(NO, IPC 2020)	25	188^th	6804

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of IPC Crimes(NO, IPC 2020)	2801	74^th	8278
2	Crime/1000 Pop(Ratio, IPC 2020)	1	88^th	8471
3	Number of Cyber Crimes(NO, IPC 2020)	25	170^th	2393
4	Number of Missing Persons(NO, IPC 2020)	267	175^th	4223

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	English Speakers (Second Language + Third Language(No, Census 2011)	187044	77^th	9962
2	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	118^th	9253
3	Number of Internet Connections(No, TRAI 2023)	593683	121^st	8474

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Facebook Users. (Estimated Maximum)(No, FB 2022)	395157	20^th	11106
2	Linkedin Audience Size(No, Linked in 2023)	114666	36^th	5607
3	City FB Users % of City Literate Population(%, FB 2022)	134	236^th	10261

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Gurumukhi Script (Punjabi)	10774	6^th	2895
2	English Multilingual Population	50193	54^th	8222
3	Script Pools # < 30,000	1	74^th	1946
4	DHQ Mother Tongue Population (No, Census 2011)	254303	145^th	7262

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Devnagri Script (Hindi)	137058	62^nd	6340
2	Odia Script	5442	77^th	4065
3	Gujarati Script	25953	160^th	9468
4	Literacy (%, Census 2023)Estd	78	162^nd	6850
5	Assamese Script	3229	206^th	2354
6	Bengali Script	13153	219^th	9635
7	Tamil Script	23886	234^th	9443
8	Latin Script (English)	2647	241^st	3680
9	Malayalam Script	6112	262^nd	5657
10	Marathi Script	27903	262^nd	5239
11	Telugu Script	39429	262^nd	4089
12	Perso-Arabic Script (Urdu)	33190	355^th	8134
13	Kannada Script	23603	370^th	3257

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^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	75^th	9496
2	Number of Theatres(No, BOC 2020)	22	93^rd	1507
3	Total Annual Newspaper Circulation(No, RNI 2020)	597414	272^nd	9831

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of households having latrine facility within the premises	153026	131^st	8395
2	Urbanization(% , Census 2011)	24	161^st	9831
3	# of Households that use LPG/PNG as fuel for Cooking	93956	163^rd	10621
4	# of Households with Location of drinking water source within premises	150461	184^th	7593
5	Number of towns(Number , Census 2011)	10	199^th	6335
6	Urban Population(Number , Census 2011)	495956	201^st	2914
7	# of Households with Main source of Lighting as Electricity	217194	218^th	2644

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of households(Number , Census 2011)	318214	49^th	10410
2	# of Households with 1 married couple	223006	82^nd	8096
3	# of Inhabited Villages	747	175^th	5300
4	# of Households with Main source of Lighting as Solar Energy	1378	302^nd	3321
5	# of Uninhabited Villages	54	380^th	8292

Negative Metrics:

Population: 285,788 | Population Rank: 143^rd

Area (KM²): 3,355 | Area Rank: 386^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	56^th	2478
2	Number of PSU Jobs(Number,DPE 2022, )	816	56^th	5447
3	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	108^th	8411
4	Number of State Government Jobs	25127	110^th	6470
5	Formal Jobs as a % of working Pop(%,DPE 2022)	2	118^th	6393
6	Govt Jobs as a % of Working Population(%,DPE 2022)	2	156^th	3956

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Formal Jobs(Sum,DPE 2022)	62963	2^nd	3348
2	Working Population 2023(Number,Census 2011)	1121530	51^st	2262
3	Number of Companies	1876	86^th	8552
4	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	575^th	10633

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.

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