Prarang: G2C

Betul Analytics

languages
City (district capitals)/DHQ

1. Hindi : 88,065
2. Marathi : 9,747
3. English Multilingual Population : 8,421

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

Basic Details

City (District Capitals)/DHQ Population :	:	103,330
City(District Capitals)/DHQ Population (Rank)	:	363^rd
District Area (km²)	:	10,043
District Area (Rank)	:	52^nd
No.of Towns in District	:	238
No. of Villages in District	:	145

What is A.I.? FAQ

Betul Highlights: India City/Districts Comparison

Betul is the 363^rd ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Betul District in Madhya Pradesh State. Betul District is 324^th highest ranked in population & 52^nd ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Betul is the 30^th highest ranked in # of Households with Main source of Lighting as Solar Energy out of 768 city/districts of India. This indicates that the government has placed a greater emphasis on green energy in this district compared to other districts.

2.
The average District Area (Sq Km) of Indian city (district capitals)/districts is 4,275. Betul is the 52^nd highest ranked city out of 768 city/districts. This implies that this district has a higher access to natural resources compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Betul is the 87^th highest ranked in Total Annual Newspaper Circulation(No, RNI 2020) . This implies higher literate district population in comparison to other districts.

4.
Out of 768 District Capitals/Districts of India Betul is the 80^th best ranked in Number of Cyber Crimes(NO, IPC 2020) . This indicates a safer district as compared to other districts.

Worse than India Average-

1.
Betul is the 40^th worst 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.

2.
The Average Number of Murders(NO, IPC 2020) of Indian City (District Capitals)/Districts is Betul is the 93^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, Betul is the 123^rd worst ranked in Murder/Lakh Pop(Ratio, IPC 2020) .This indicates a safer district as compared to other districts.

4.
Out of 768 District Capitals/Districts of India, Betul is the 518^th worst ranked in Population per sq. km. (Km, Census 2011) .This implies that this district has a higher birth rate and/or higher attractiveness for migrants.

5.
Betul is the 508^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.

6.
The Average Bank Deposit/Household (Lakhs, RBI SCB 2023) of Indian City(District Capitals)/Districts is 51. Betul is the 443^rd highest ranked City out of 768 City/Districts.This implies that financial activities in this district is more compared to other districts.

Betul City/District Metrics

Culture

Nature

Internet

Betul Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (Mn Tonnes) Soyabean Production	Ab. Prod (Mn Tonnes) Soyabean Production	0.00%	14^th	4878
Ab. Prod (000' tonnes ) Potatoes Production	Ab. Prod (000' tonnes ) Potatoes Production	0.08%	226^th	1951
Ab. Prod (Lakh tonnes) Chickpea Production	Ab. Prod (Lakh tonnes) Chickpea Production	0.11%	234^th	3862
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	0.10%	284^th	6604
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	0.38%	289^th	7879

Betul Culture Highlights

Sr.No	Culture Metrics	Counts	Name
Famous Jain Temples	Famous Jain Temples	1	Muktagiri

Airports

	Name	City	IATA Code	Distance
Airport Name	Dr Babasaheb Ambedkar International Airport	Nagpur	NAG	94 Km

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of Sub Divisional Hospital	1	140^th	6586

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Community Health Centers	9	26^th	8437
2	No of Nurses	3328	43^rd	6282
3	No of Total Hospitals	59	47^th	9805
4	No of Primary Health Centers	47	55^th	9243
5	No of Doctors	1634	139^th	9160
6	No of District Hospital	1	176^th	8619
7	No of Hospital Beds	1381	196^th	1291

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

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	92^nd	9415
2	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	250^th	5336
3	Number of Households with Owned houses(No, Census 2011)	273858	294^th	4556
4	House Ownership % of Households(%, Census 2011)	84	453^rd	4662

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	34^th	4544
2	Number of Households with rented houses(No, Census 2011)	36696	65^th	1608
3	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	90^th	1475
4	Number of Households with Television(No, Census 2011)	153607	96^th	4708
5	Number of Households with Mobile only(No, Census 2011)	169864	115^th	8455
6	Number of Households without Internet(No, Census 2011)	20464	122^nd	5014
7	Number of Banks(No, RBI SCB Q4 2022)	221	124^th	7631
8	GDP per Capita ('000', RBI SCB 2023)	153	130^th	2191
9	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	139^th	6851
10	GDP (Crores. RBI SCB 2023)	38608	147^th	5325
11	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	186^th	8113
12	% of Household with Mobiles(%, Census 2011)	49	226^th	9644
13	% of Households with Cars(%, Census 2011)	4	231^st	2603
14	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	244^th	2678
15	Number of Households with Internet(No, Census 2011)	10371	281^st	1172
16	Bank Credit(Crore, RBI SCB Q4 2022)	37411	331^st	5560
17	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	443^rd	4766
18	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	508^th	3700

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	278^th	9556

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Decadal Growth Rate (2011) (%, Census 2011)	19	244^th	8580
2	Population per sq. km. (Km, Census 2011)	1017	518^th	1979

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

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	143^rd	11167
2	# of No. of Schools(No, UDISE 2021)?	1937	182^nd	2672

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	4^th	4478
2	# of Universities(No,AISHE 2020)	1	97^th	3454
3	# of UG Enrolments - Management(No,AISHE 2020)	719	111^th	8798
4	# of UG Enrolments - Science(No,AISHE 2020)	6311	124^th	7719
5	# of PG Enrolments - Science(No,AISHE 2020)	1015	124^th	9650
6	# of Master's Enrolment(No,AISHE 2020)	6137	136^th	7516
7	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	150^th	4021
8	# of PG Enrolments - Commerce(No,AISHE 2020)	344	150^th	6746
9	# of UG Enrolments - Law(No,AISHE 2020)	654	167^th	3265
10	# of PG Enrolments - Management(No,AISHE 2020)	591	172^nd	6129
11	# of ITIS seats(No,AISHE 2020)	4706	173^rd	10456
12	# of PG Enrolments - Arts(No,AISHE 2020)	1087	181^st	7771
13	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	182^nd	5723
14	# of UG Enrolments - Arts (No,AISHE 2020)	9152	182^nd	10626
15	Population (18-24) (Number, 2023)	208496	183^rd	1704
16	# of Colleges(No,AISHE 2020)	56	184^th	10800
17	# of Bachelor's Enrolment(No,AISHE 2020)	42477	184^th	2070
18	# of UG Enrolments - Medical(No,AISHE 2020)	358	192^nd	8898
19	# of Total Enrolments(No,AISHE 2020)	49523	201^st	8569
20	# of Population (0-18)(No,Census 2011)	136937	204^th	1937
21	# of Diploma(No,AISHE 2020)	3877	212^th	6053
22	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	215^th	9549
23	# of UG Enrolments - Engg(No,AISHE 2020)	5379	243^rd	10151
24	# of PG Enrolments - Engg(No,AISHE 2020)	250	246^th	6698
25	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	277^th	7399
26	# of Ph.D Enrolments(No,AISHE 2020)	275	346^th	3702

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

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	145^th	5951
2	Number of Police Stations(NO, IPC 2020)	22	287^th	6454

Negative Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Missing Persons(NO, IPC 2020)	267	40^th	4511
2	Number of Murders(NO, IPC 2020)	25	93^rd	6279
3	Murder/Lakh Pop(Ratio, IPC 2020)	1	123^rd	2752
4	Number of IPC Crimes(NO, IPC 2020)	2801	206^th	8769
5	Crime/1000 Pop(Ratio, IPC 2020)	1	235^th	5155

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Cyber Crimes(NO, IPC 2020)	25	80^th	3500

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	228^th	5306

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	39^th	8648
2	Number of Facebook Users. (Estimated Maximum)(No, FB 2024)	177404	150^th	1302
3	Number of Internet Connections(No, TRAI 2023)	593683	214^th	9433
4	Linkedin Audience Size(No, Linked in 2024)	114666	271^st	8067
5	English Speakers (Second Language + Third Language(No, Census 2011)	187044	335^th	9930

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Marathi Script	27903	15^th	1576
2	Devnagri Script (Hindi)	137058	40^th	7123
3	Telugu Script	39429	86^th	9560
4	Script Pools # < 30,000	1	96^th	1745
5	Literacy (%, Census 2023)Estd	78	137^th	10885
6	Gujarati Script	25953	165^th	3862
7	Gurumukhi Script (Punjabi)	10774	175^th	9154
8	DHQ Mother Tongue Population (No, Census 2011)	254303	178^th	4690
9	Malayalam Script	6112	187^th	8528
10	Bengali Script	13153	269^th	6659
11	Perso-Arabic Script (Urdu)	33190	282^nd	3074
12	Tamil Script	23886	302^nd	1373
13	English Multilingual Population	50193	308^th	5308
14	Latin Script (English)	2647	394^th	10813
15	Odia Script	5442	407^th	6204
16	Assamese Script	3229	428^th	6266

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Total Annual Newspaper Circulation(No, RNI 2020)	597414	87^th	2454
2	Number of Dailies or Magazines(No, RNI 2020)	222	157^th	6344

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Theatres(No, BOC 2020)	22	132^nd	7222

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

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	1378	30^th	9169
2	# of Inhabited Villages	747	145^th	1414
3	# of Uninhabited Villages	54	210^th	6487
4	# of Households with Main source of Lighting as Electricity	217194	237^th	5623
5	# of Households with 1 married couple	223006	257^th	4825
6	Number of households(Number , Census 2011)	318214	282^nd	5630

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of towns(Number , Census 2011)	10	9^th	5062
2	Urbanization(% , Census 2011)	24	56^th	9542
3	Urban Population(Number , Census 2011)	495956	86^th	5235
4	# of Households that use LPG/PNG as fuel for Cooking	93956	119^th	3599
5	Number of households having latrine facility within the premises	153026	127^th	10388
6	# of Households with Location of drinking water source within premises	150461	150^th	10119

Negative Metrics:

Population: 103,330 | Population Rank: 363^rd

Area (KM²): 10,043 | Area Rank: 52^nd

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	11^th	2044
2	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	164^th	9762
3	Number of State Government Jobs	25127	200^th	5304
4	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	203^rd	2102
5	Number of Formal Jobs(Sum,DPE 2022)	62963	223^rd	9373
6	Formal Jobs as a % of working Pop(%,DPE 2022)	2	266^th	1997
7	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	292^nd	9828
8	Number of PSU Jobs(Number,DPE 2022, )	816	292^nd	2486
9	Govt Jobs as a % of Working Population(%,DPE 2022)	2	325^th	5996
10	Number of Companies	1876	327^th	3308

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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