Prarang: G2C

Chatra Analytics

languages
City (district capitals)/DHQ

1. Hindi : 34,987
2. Urdu : 14,366
3. English Multilingual Population : 3,856

Number Of Languages spoken by more then 30K Population : 1

Basic Details

City (District Capitals)/DHQ Population :	:	49,985
City(District Capitals)/DHQ Population (Rank)	:	477^th
District Area (km²)	:	3,700
District Area (Rank)	:	344^th
No.of Towns in District	:	562
No. of Villages in District	:	134

What is A.I.? FAQ

Chatra Highlights: India City/Districts Comparison

Chatra is the 477^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Chatra District in Jharkhand State. Chatra District is 459^th highest ranked in population & 344^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Chatra is the 31^st highest ranked in House Ownership % of Households(%, Census 2011) out of 768 city/districts of India. This implies that economic activies in this district is more compared to other districts.

2.
The average Decadal Growth Rate (2011) (%, Census 2011) of Indian city (district capitals)/districts is 19. Chatra is the 68^th highest ranked city out of 768 city/districts. This implies that this district has a higher birth rate and/or higher attractiveness for migrants.

3.
Out of 768 District Capitals/Districts of India, Chatra is the 74^th highest ranked in AEGR (2011) (District) . This indicates that this district has a higher birth rate and/or higher attractiveness for migrants.

4.
Out of 768 District Capitals/Districts of India Chatra is the 160^th best ranked in Number of Missing Persons(NO, IPC 2020) . This indicates a safer district as compared to other districts.

5.
Chatra is the 106^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 Crime/1000 Pop(Ratio, IPC 2020) of Indian City(District Capitals)/Districts is 1 . Chatra is the 60^th best ranked City out of 768 City/Districts. This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Chatra is the 49^th 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 Chatra is the 163^rd 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, Chatra is the 566^th worst ranked in Bank Credit(Crore, RBI SCB Q4 2022) .This indicates that financial activities in district is more compared to other districts.

4.
Out of 768 District Capitals/Districts of India, Chatra is the 501^st worst ranked in Linkedin Audience Size(No, Linked in 2024) .This indicates higher Linkedin IDs in Linkedin Advertising module for this town vis a vis other towns.

5.
Chatra is the 494^th highest ranked in Bank Loans/Household (Lakhs,RBI SCB 2023) 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.

Chatra City/District Metrics

Culture

Nature

Internet

Chatra Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
COAL (in million tonnes)	COAL (in million tonnes)	12.44%	42^nd	1183
Ab. Prod (000' tonnes) Banana Production	Ab. Prod (000' tonnes) Banana Production	0.01%	68^th	2694
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	0.01%	73^rd	2626
Ab. Prod (000' tonnes ) Potatoes Production	Ab. Prod (000' tonnes ) Potatoes Production	0.01%	76^th	1977
Ab. Prod (Mn tonnes) Rice Production	Ab. Prod (Mn tonnes) Rice Production	0.07%	77^th	5054
Ab. Prod (Mn Bales)Cotton Production	Ab. Prod (Mn Bales)Cotton Production	0.01%	86^th	4054
Ab. Prod (Mn Tonnes) Soyabean Production	Ab. Prod (Mn Tonnes) Soyabean Production	0.01%	92^nd	4334
Ab. Prod (Mn Tonnes) Sugarcane Production	Ab. Prod (Mn Tonnes) Sugarcane Production	0.00%	93^rd	4333
Ab. Prod (Lakh tonnes) Chickpea Production	Ab. Prod (Lakh tonnes) Chickpea Production	0.05%	98^th	6112
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.02%	113^th	10233
Ab. Prod (Mn Tonnes) Maize Production	Ab. Prod (Mn Tonnes) Maize Production	0.04%	134^th	6339

Chatra Culture Highlights

Sr.No	Culture Metrics	Counts	Name

Airports

	Name	City	IATA Code	Distance
Airport Name	Gaya Airport	Gaya	GAY	38 Km

No Data found.

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Community Health Centers	9	118^th	10478
2	No of District Hospital	1	150^th	10690
3	No of Total Hospitals	59	303^rd	6628
4	No of Primary Health Centers	47	320^th	1999
5	No of Doctors	1634	388^th	2132
6	No of Nurses	3328	460^th	9365

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^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)	84	31^st	5426
2	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	104^th	3789

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	8^th	4851
2	% of Household with Mobiles(%, Census 2011)	49	78^th	2036
3	Number of Households with Owned houses(No, Census 2011)	273858	108^th	8839
4	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	134^th	3383
5	Number of Households with Mobile only(No, Census 2011)	169864	166^th	2004
6	Number of Households without Internet(No, Census 2011)	20464	194^th	5240
7	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	262^nd	1223
8	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	348^th	6809
9	Number of Households with Television(No, Census 2011)	153607	360^th	5550
10	Number of Banks(No, RBI SCB Q4 2022)	221	374^th	9955
11	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	415^th	9583
12	% of Households with Cars(%, Census 2011)	4	418^th	6321
13	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	429^th	10521
14	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	442^nd	11143
15	GDP (Crores. RBI SCB 2023)	38608	447^th	4068
16	Number of Households with Internet(No, Census 2011)	10371	456^th	8083
17	Number of Households with rented houses(No, Census 2011)	36696	458^th	4295
18	GDP per Capita ('000', RBI SCB 2023)	153	486^th	6164
19	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	494^th	9205
20	Bank Credit(Crore, RBI SCB Q4 2022)	37411	566^th	1747

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^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	68^th	3546
2	Sex-Ratio (1000) (%, Census 2011)	949	376^th	5468

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Population per sq. km. (Km, Census 2011)	1017	368^th	4032

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of No. of Schools(No, UDISE 2021)?	1937	114^th	7503
2	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	251^st	4075
3	# of ITIS seats(No,AISHE 2020)	4706	274^th	4800
4	# of Population (0-18)(No,Census 2011)	136937	294^th	10369
5	Population (18-24) (Number, 2023)	208496	311^th	5703
6	# of UG Enrolments - Medical(No,AISHE 2020)	358	317^th	4797
7	# of UG Diploma Enrolments(No,AISHE 2020)	334	338^th	6810
8	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	345^th	4984
9	# of Master's Enrolment(No,AISHE 2020)	6137	348^th	3005
10	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	355^th	3294
11	# of Total Enrolments(No,AISHE 2020)	49523	359^th	10797
12	# of PG Enrolments - Arts(No,AISHE 2020)	1087	359^th	6179
13	# of UG Enrolments - Arts (No,AISHE 2020)	9152	360^th	9019
14	# of Bachelor's Enrolment(No,AISHE 2020)	42477	377^th	6687
15	# of Diploma(No,AISHE 2020)	3877	385^th	2734
16	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	395^th	10033
17	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	419^th	9553
18	# of PG Enrolments - Commerce(No,AISHE 2020)	344	419^th	3132
19	# of UG Enrolments - Law(No,AISHE 2020)	654	440^th	4035
20	# of PG Enrolments - Management(No,AISHE 2020)	591	440^th	2661
21	# of Ph.D Enrolments(No,AISHE 2020)	275	460^th	6677
22	# of PG Enrolments - Engg(No,AISHE 2020)	250	472^nd	1889
23	# of UG Enrolments - Engg(No,AISHE 2020)	5379	476^th	10185
24	# of Colleges(No,AISHE 2020)	56	477^th	1627

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Panchayats(Number , Census 2011)	745	134^th	4717
2	Sanctioned Police Force Number(NO, IPC 2020)	1416	166^th	7669

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations(NO, IPC 2020)	22	111^th	9410

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	49^th	1537
2	Number of Murders(NO, IPC 2020)	25	163^rd	10158

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Cyber Crimes(NO, IPC 2020)	25	54^th	8404
2	Crime/1000 Pop(Ratio, IPC 2020)	1	60^th	4536
3	Number of IPC Crimes(NO, IPC 2020)	2801	106^th	9249
4	Number of Missing Persons(NO, IPC 2020)	267	160^th	4448

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	City FB Users % of City Literate Population(%, FB 2022)	134	290^th	4530
2	Number of Facebook Users. (Estimated Maximum)(No, FB 2024)	177404	334^th	9775
3	Number of Internet Connections(No, TRAI 2023)	593683	420^th	6518
4	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	436^th	5216
5	English Speakers (Second Language + Third Language(No, Census 2011)	187044	444^th	10265
6	Linkedin Audience Size(No, Linked in 2024)	114666	501^st	7655

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Perso-Arabic Script (Urdu)	33190	45^th	1926
2	Script Pools # < 30,000	1	76^th	5301
3	Devnagri Script (Hindi)	137058	122^nd	3502
4	Assamese Script	3229	138^th	1359
5	Bengali Script	13153	257^th	7511
6	Literacy (%, Census 2023)Estd	78	304^th	6037
7	Kannada Script	23603	304^th	2806
8	Odia Script	5442	307^th	2908
9	Telugu Script	39429	320^th	5735
10	DHQ Mother Tongue Population (No, Census 2011)	254303	333^rd	4981
11	Gurumukhi Script (Punjabi)	10774	338^th	7719
12	Marathi Script	27903	359^th	3272
13	Gujarati Script	25953	434^th	10731
14	Tamil Script	23886	448^th	2377
15	English Multilingual Population	50193	452^nd	3239
16	Latin Script (English)	2647	455^th	7515
17	Malayalam Script	6112	541^st	3600

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Total Annual Newspaper Circulation(No, RNI 2020)	597414	230^th	4785
2	Number of Dailies or Magazines(No, RNI 2020)	222	369^th	3052
3	Number of Theatres(No, BOC 2020)	22	392^nd	5625

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Uninhabited Villages	54	132^nd	3100
2	# of Inhabited Villages	747	134^th	5792
3	# of Households with Main source of Lighting as Solar Energy	1378	159^th	2577

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of households(Number , Census 2011)	318214	134^th	7528
2	# of Households with 1 married couple	223006	152^nd	4302
3	# of Households with Location of drinking water source within premises	150461	274^th	9870
4	Number of towns(Number , Census 2011)	10	343^rd	7894
5	Urban Population(Number , Census 2011)	495956	349^th	7329
6	Urbanization(% , Census 2011)	24	359^th	5624
7	# of Households with Main source of Lighting as Electricity	217194	359^th	6802
8	Number of households having latrine facility within the premises	153026	372^nd	7550
9	# of Households that use LPG/PNG as fuel for Cooking	93956	430^th	4898

Negative Metrics:

Population: 49,985 | Population Rank: 477^th

Area (KM²): 3,700 | Area Rank: 344^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	146^th	2649
2	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	261^st	1727
3	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	279^th	2161
4	Number of Formal Jobs(Sum,DPE 2022)	62963	330^th	8159
5	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	360^th	4685
6	Number of PSU Jobs(Number,DPE 2022, )	816	360^th	2955
7	Number of State Government Jobs	25127	366^th	4144
8	Govt Jobs as a % of Working Population(%,DPE 2022)	2	384^th	10709
9	Number of Companies	1876	396^th	10579
10	Formal Jobs as a % of working Pop(%,DPE 2022)	2	414^th	4905

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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