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PRARANG

Knowledge Webs for Smarter Governance

Ambikapur Analytics

languages
City (district capitals)/DHQ

1. Bengali : 12,970
2. Hindi : 756
3. English Multilingual Population : 489

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

Basic Details

City (District Capitals)/DHQ Population :	:	112,449
City(District Capitals)/DHQ Population (Rank)	:	314^th
District Area (km²)	:	3,265
District Area (Rank)	:	396^th
No.of Towns in District	:	126
No. of Villages in District	:	67

What is A.I.? FAQ

Ambikapur Highlights: India City/Districts Comparison

Ambikapur is the 314^th ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Ambikapur District in Chattisgarh State. Surguja District is 515^th highest ranked in population & 396^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Ambikapur is the 59^th highest ranked in # of UG Diploma Enrolments(No,AISHE 2020) out of 768 city/districts of India. This implies that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

2.
The average Number of Panchayats(Number , Census 2011) of Indian city (district capitals)/districts is 745. Ambikapur is the 67^th highest ranked city out of 768 city/districts. This indicates that this district has more decentralized governance as compare to other districts.

3.
Out of 768 District Capitals/Districts of India, Ambikapur is the 67^th highest ranked in # of Inhabited Villages . This indicates that the government has paid more attention to development in this district compare to other districts.

Worse than India Average-

1.
Ambikapur is the 611^th worst ranked in Bank Deposit/Household (Lakhs, RBI SCB 2023) out of 768 city/districts of India. This implies that financial activities in this district is more compared to other districts.

2.
The Average Number of Central Government Jobs (Number,DOE Annual Report 2018) of Indian City (District Capitals)/Districts is Ambikapur is the 556^th worst ranked City out of 768 City/Districts.This indicates that this is an important district /or highly urbanised district.

3.
Out of 768 District Capitals/Districts of India, Ambikapur is the 555^th worst ranked in Number of PSU Jobs(Number,DPE 2022, ) .This indicates that this is a highly urbanized district and /or government created industrial township.

Ambikapur City/District Metrics

Culture

Nature

Internet

Ambikapur Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
URANIUM (in tonnes)	URANIUM (in tonnes)	0.55%	10^th	10147

Ambikapur Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Princely State	Princely State	1	Sarguja
Famous Hindu Temples	Famous Hindu Temples	1	Mahamaya Temple
Famous Church Name	Famous Church Name	1	Cathedral of the Immaculate Mother of God of the Diocese of Ambikapur

Airports

	Name	City	IATA Code	Distance
Airport Name	Birsa Munda Airport	Ranchi	IXR	137 Km

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of District Hospital	1	105^th	6296
2	No of Primary Health Centers	47	159^th	1214
3	No of Total Hospitals	59	171^st	9805
4	No of Community Health Centers	9	176^th	10078
5	No of Nurses	3328	255^th	6982
6	No of Doctors	1634	352^nd	1801

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	39^th	4879
2	Number of Households with Owned houses(No, Census 2011)	273858	143^rd	10174
3	House Ownership % of Households(%, Census 2011)	84	187^th	10106
4	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	258^th	1554

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	45^th	6159
2	Number of Households without Internet(No, Census 2011)	20464	55^th	4704
3	Number of Households with rented houses(No, Census 2011)	36696	102^nd	8859
4	Number of Households with Mobile only(No, Census 2011)	169864	105^th	10044
5	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	120^th	9624
6	GDP per Capita ('000', RBI SCB 2023)	153	121^st	1842
7	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	122^nd	2967
8	Number of Households with Television(No, Census 2011)	153607	152^nd	11225
9	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	174^th	3475
10	% of Households with Cars(%, Census 2011)	4	219^th	9236
11	Number of Households with Internet(No, Census 2011)	10371	228^th	5257
12	GDP (Crores. RBI SCB 2023)	38608	269^th	1480
13	% of Household with Mobiles(%, Census 2011)	49	283^rd	3483
14	Number of Banks(No, RBI SCB Q4 2022)	221	343^rd	10706
15	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	370^th	8550
16	Bank Credit(Crore, RBI SCB Q4 2022)	37411	428^th	4617
17	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	488^th	1685
18	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	611^th	6877

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	235^th	3090
2	Decadal Growth Rate (2011) (%, Census 2011)	19	265^th	8372

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Population per sq. km. (Km, Census 2011)	1017	525^th	4917

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of UG Diploma Enrolments(No,AISHE 2020)	334	59^th	6738

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	38^th	4285
2	# of UG Enrolments - Science(No,AISHE 2020)	6311	38^th	1571
3	# of PG Enrolments - Science(No,AISHE 2020)	1015	38^th	3456
4	# of Universities(No,AISHE 2020)	1	50^th	9192
5	# of No. of Schools(No, UDISE 2021)?	1937	51^st	6689
6	# of UG Enrolments - Law(No,AISHE 2020)	654	94^th	5208
7	# of Diploma(No,AISHE 2020)	3877	96^th	9344
8	Population (18-24) (Number, 2023)	208496	102^nd	4476
9	# of Colleges(No,AISHE 2020)	56	114^th	10180
10	# of UG Enrolments - Engg(No,AISHE 2020)	5379	119^th	2778
11	# of PG Enrolments - Engg(No,AISHE 2020)	250	119^th	10495
12	# of Master's Enrolment(No,AISHE 2020)	6137	149^th	8734
13	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	160^th	4048
14	# of UG Enrolments - Medical(No,AISHE 2020)	358	168^th	10047
15	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	174^th	9758
16	# of PG Enrolments - Commerce(No,AISHE 2020)	344	174^th	1332
17	# of Population (0-18)(No,Census 2011)	136937	175^th	2823
18	# of Total Enrolments(No,AISHE 2020)	49523	181^st	5407
19	# of Bachelor's Enrolment(No,AISHE 2020)	42477	192^nd	9361
20	# of ITIS seats(No,AISHE 2020)	4706	209^th	2360
21	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	213^th	7644
22	# of PG Enrolments - Arts(No,AISHE 2020)	1087	257^th	6956
23	# of UG Enrolments - Arts (No,AISHE 2020)	9152	258^th	11072
24	# of Ph.D Enrolments(No,AISHE 2020)	275	320^th	6158
25	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	350^th	2058
26	# of UG Enrolments - Management(No,AISHE 2020)	719	421^st	3331

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^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	67^th	3691
2	Sanctioned Police Force Number(NO, IPC 2020)	1416	198^th	9655

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations(NO, IPC 2020)	22	193^rd	6832

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^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	20^th	10965
2	Number of Facebook Users. (Estimated Maximum)(No, FB 2022)	395157	69^th	10282
3	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	73^rd	6915
4	Number of Internet Connections(No, TRAI 2023)	593683	187^th	10485
5	Linkedin Audience Size(No, Linked in 2023)	114666	306^th	5575
6	English Speakers (Second Language + Third Language(No, Census 2011)	187044	428^th	8607

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Bengali Script	13153	71^st	9096

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Latin Script (English)	2647	102^nd	1479
2	Assamese Script	3229	185^th	2821
3	Literacy (%, Census 2023)Estd	78	303^rd	1193
4	Devnagri Script (Hindi)	137058	479^th	5736
5	Malayalam Script	6112	484^th	10082
6	DHQ Mother Tongue Population (No, Census 2011)	254303	504^th	5048
7	English Multilingual Population	50193	604^th	8966

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^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	126^th	4156
2	Total Annual Newspaper Circulation(No, RNI 2020)	597414	245^th	7069
3	Number of Dailies or Magazines(No, RNI 2020)	222	259^th	9622

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Inhabited Villages	747	67^th	7134
2	# of Households with Main source of Lighting as Solar Energy	1378	78^th	10277
3	# of Households that use Electricity as fuel for Cooking	282	126^th	6062
4	Number of towns(Number , Census 2011)	10	128^th	5175
5	# of Households with 1 married couple	223006	137^th	8623
6	Number of households(Number , Census 2011)	318214	159^th	7639
7	Urbanization(% , Census 2011)	24	218^th	4899
8	# of Households with Main source of Lighting as Electricity	217194	222^nd	3049

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of households having latrine facility within the premises	153026	31^st	2414
2	# of Households with Location of drinking water source within premises	150461	129^th	8901
3	Urban Population(Number , Census 2011)	495956	147^th	9820
4	# of Households that use LPG/PNG as fuel for Cooking	93956	212^th	6808
5	# of Uninhabited Villages	54	327^th	7392

Negative Metrics:

Population: 112,449 | Population Rank: 314^th

Area (KM²): 3,265 | Area Rank: 396^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	202^nd	4048
2	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	477^th	3445
3	Formal Jobs as a % of working Pop(%,DPE 2022)	2	486^th	3241
4	Govt Jobs as a % of Working Population(%,DPE 2022)	2	493^rd	1681
5	Number of State Government Jobs	25127	495^th	10263
6	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	500^th	6731
7	Number of Companies	1876	522^nd	1419
8	Number of Formal Jobs(Sum,DPE 2022)	62963	526^th	3902
9	Number of PSU Jobs(Number,DPE 2022, )	816	555^th	5273
10	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	556^th	10301

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.