Prarang: G2C

Shahdol Analytics

languages
City (district capitals)/DHQ

1. Hindi : 81,549
2. English Multilingual Population : 7,064
3. Sindhi : 1,890

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

Basic Details

City (District Capitals)/DHQ Population :	:	86,681
City(District Capitals)/DHQ Population (Rank)	:	391^st
District Area (km²)	:	6,205
District Area (Rank)	:	150^th
No.of Towns in District	:	300
No. of Villages in District	:	296

What is A.I.? FAQ

Shahdol Highlights: India City/Districts Comparison

Shahdol is the 391^st ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Shahdol District in Madhya Pradesh State. Shahdol District is 451^st highest ranked in population & 150^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Shahdol is the 148^th highest ranked in Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023) out of 768 city/districts of India. This implies that the per-bank credit demand in this district is higher than in other districts.

2.
The average District Area (Sq Km) of Indian city (district capitals)/districts is 4,275. Shahdol is the 150^th 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, Shahdol is the 159^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 Shahdol is the 217^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.
Shahdol is the 60^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 Crime/1000 Pop(Ratio, IPC 2020) of Indian City (District Capitals)/Districts is Shahdol is the 81^st 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, Shahdol is the 143^rd worst ranked in Number of IPC Crimes(NO, IPC 2020) .This indicates a safer district as compared to other districts.

4.
Out of 768 District Capitals/Districts of India, Shahdol is the 634^th worst ranked in Bank Loans/Household (Lakhs,RBI SCB 2023) .This indicates that economic condition of people in this district is better compared to people in other districts.

5.
Shahdol is the 534^th highest 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.

6.
The Average Population per sq. km. (Km, Census 2011) of Indian City(District Capitals)/Districts is 1017. Shahdol is the 501^st highest ranked City out of 768 City/Districts.This implies that this district has a higher birth rate and/or higher attractiveness for migrants.

Shahdol City/District Metrics

Culture

Nature

Internet

Shahdol Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data
Ab. Prod (000' tonnes ) Potatoes Production	Ab. Prod (000' tonnes ) Potatoes Production	0.32%	254^th	6855
Ab. Prod (Lakh tonnes) Chickpea Production	Ab. Prod (Lakh tonnes) Chickpea Production	0.47%	282^nd	6974
Ab. Prod (Mn Tonnes) Maize Production	Ab. Prod (Mn Tonnes) Maize Production	0.18%	286^th	10131
Ab. Prod (Mn tonn) Wheat Production	Ab. Prod (Mn tonn) Wheat Production	0.39%	291^st	4452
Ab. Prod (Mn Tonnes) Soyabean Production	Ab. Prod (Mn Tonnes) Soyabean Production	1.11%	310^th	8126
Ab. Prod (000' Tonnes) Onion Production	Ab. Prod (000' Tonnes) Onion Production	1.52%	393^rd	3817

Shahdol Culture Highlights

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

Airports

	Name	City	IATA Code	Distance
Airport Name	Jabalpur Airport	Jabalpur	JLR	83 Km

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	No of Sub Divisional Hospital	1	279^th	8629

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Nurses	3328	152^nd	2246
2	No of Total Hospitals	59	175^th	4152
3	No of Primary Health Centers	47	189^th	9274
4	No of Community Health Centers	9	209^th	4089
5	No of Doctors	1634	241^st	3674
6	No of Hospital Beds	1381	255^th	4963
7	No of District Hospital	1	356^th	6340

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	148^th	3940
2	Number of Households without TV, Internet, Radio, Computer, Mobile, Landline(No, Census 2011)	55686	167^th	2821
3	House Ownership % of Households(%, Census 2011)	84	312^th	2181

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	47^th	2937
2	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	119^th	9647
3	GDP per Capita ('000', RBI SCB 2023)	153	168^th	1431
4	Number of Households without Internet(No, Census 2011)	20464	177^th	4377
5	Number of Households with means of Transport as Scooter/ Motorcycle/Moped(No, Census 2011)	67856	184^th	9585
6	Number of Households with Mobile only(No, Census 2011)	169864	198^th	10414
7	Number of Households with rented houses(No, Census 2011)	36696	214^th	5059
8	Number of Households with Television(No, Census 2011)	153607	235^th	1215
9	Number of Households with TV, Computer/Laptop, Telephone/mobile phone and Scooter/ Car(No, Census 2011)	15292	239^th	4040
10	% of Household with Mobiles(%, Census 2011)	49	252^nd	6289
11	GDP (Crores. RBI SCB 2023)	38608	254^th	8971
12	Number of Households with means of Transport as Car/ Jeep/Van(No, Census 2011)	15187	266^th	2857
13	Number of Households with Internet(No, Census 2011)	10371	302^nd	5511
14	% of Households with Cars(%, Census 2011)	4	343^rd	10205
15	Number of Banks(No, RBI SCB Q4 2022)	221	351^st	8218
16	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	373^rd	4078
17	Bank Credit(Crore, RBI SCB Q4 2022)	37411	496^th	5462
18	Bank Deposit/Household (Lakhs, RBI SCB 2023)	51	534^th	9109
19	Bank Loans/Household (Lakhs,RBI SCB 2023)	43	634^th	8074

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^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	259^th	5305

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Decadal Growth Rate (2011) (%, Census 2011)	19	112^th	4789
2	Population per sq. km. (Km, Census 2011)	1017	501^st	4391

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of UG Diploma Enrolments(No,AISHE 2020)	334	13^th	3243
2	# of No. of Schools(No, UDISE 2021)?	1937	17^th	4874
3	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	60^th	8970
4	# of UG Enrolments - Management(No,AISHE 2020)	719	140^th	9511
5	# of UG Enrolments - Science(No,AISHE 2020)	6311	155^th	3811
6	# of PG Enrolments - Science(No,AISHE 2020)	1015	156^th	9661
7	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	171^st	6454
8	# of PG Enrolments - Commerce(No,AISHE 2020)	344	172^nd	8476
9	# of Master's Enrolment(No,AISHE 2020)	6137	187^th	6834
10	# of UG Enrolments - Law(No,AISHE 2020)	654	201^st	9249
11	# of ITIS seats(No,AISHE 2020)	4706	202^nd	3863
12	# of PG Enrolments - Management(No,AISHE 2020)	591	202^nd	1989
13	# of PG Enrolments - Arts(No,AISHE 2020)	1087	216^th	5245
14	# of UG Enrolments - Arts (No,AISHE 2020)	9152	217^th	2432
15	# of Colleges(No,AISHE 2020)	56	218^th	4742
16	# of Bachelor's Enrolment(No,AISHE 2020)	42477	219^th	3086
17	# of Universities(No,AISHE 2020)	1	220^th	4109
18	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	221^st	3529
19	Population (18-24) (Number, 2023)	208496	228^th	4591
20	# of UG Enrolments - Medical(No,AISHE 2020)	358	230^th	10901
21	# of Population (0-18)(No,Census 2011)	136937	231^st	9948
22	# of Total Enrolments(No,AISHE 2020)	49523	236^th	2269
23	# of Diploma(No,AISHE 2020)	3877	249^th	11229
24	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	253^rd	2674
25	# of PG Enrolments - Engg(No,AISHE 2020)	250	287^th	8951
26	# of UG Enrolments - Engg(No,AISHE 2020)	5379	289^th	4900
27	# of Ph.D Enrolments(No,AISHE 2020)	275	381^st	9390
28	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	442^nd	3380

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^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	296^th	6492

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Police Stations(NO, IPC 2020)	22	147^th	2394

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	60^th	9888
2	Crime/1000 Pop(Ratio, IPC 2020)	1	81^st	3037
3	Number of IPC Crimes(NO, IPC 2020)	2801	143^rd	5531
4	Murder/Lakh Pop(Ratio, IPC 2020)	1	178^th	10318
5	Number of Murders(NO, IPC 2020)	25	216^th	10869

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Cyber Crimes(NO, IPC 2020)	25	217^th	8127

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	50^th	8453
2	Number of Internet Connections(No, TRAI 2023)	593683	249^th	5184
3	English Speakers (Second Language + Third Language(No, Census 2011)	187044	367^th	5886
4	City FB Users % of City Literate Population(%, FB 2022)	134	390^th	2629
5	Number of Facebook Users. (Estimated Maximum)(No, FB 2022)	395157	395^th	3541
6	Linkedin Audience Size(No, Linked in 2023)	114666	441^st	10606

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Devnagri Script (Hindi)	137058	44^th	1922
2	Odia Script	5442	108^th	6771
3	Bengali Script	13153	149^th	1883
4	Latin Script (English)	2647	151^st	10695
5	Gurumukhi Script (Punjabi)	10774	164^th	6761
6	Telugu Script	39429	182^nd	2038
7	DHQ Mother Tongue Population (No, Census 2011)	254303	185^th	1926
8	Marathi Script	27903	192^nd	1790
9	Literacy (%, Census 2023)Estd	78	195^th	5984
10	Script Pools # < 30,000	1	254^th	5439
11	Perso-Arabic Script (Urdu)	33190	263^rd	2744
12	Gujarati Script	25953	276^th	5070
13	Malayalam Script	6112	291^st	9304
14	Kannada Script	23603	308^th	8729
15	Tamil Script	23886	316^th	2277
16	Assamese Script	3229	336^th	7675
17	English Multilingual Population	50193	339^th	3342

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^th

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	159^th	3291

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	2^nd	9031
2	Number of Theatres(No, BOC 2020)	22	364^th	2717

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Inhabited Villages	747	297^th	3736

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Urbanization(% , Census 2011)	24	46^th	5196
2	# of Households with 1 married couple	223006	58^th	4085
3	Number of households(Number , Census 2011)	318214	70^th	3791
4	Number of towns(Number , Census 2011)	10	95^th	1230
5	# of Uninhabited Villages	54	100^th	2890
6	# of Households with Location of drinking water source within premises	150461	130^th	2888
7	# of Households with Main source of Lighting as Electricity	217194	135^th	8696
8	Urban Population(Number , Census 2011)	495956	173^rd	4358
9	# of Households with Main source of Lighting as Solar Energy	1378	187^th	10813
10	# of Households that use LPG/PNG as fuel for Cooking	93956	248^th	5198
11	Number of households having latrine facility within the premises	153026	249^th	9759

Negative Metrics:

Population: 86,681 | Population Rank: 391^st

Area (KM²): 6,205 | Area Rank: 150^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	138^th	4276
2	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	189^th	9776
3	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	224^th	6526
4	Formal Jobs as a % of working Pop(%,DPE 2022)	2	226^th	9639
5	Number of State Government Jobs	25127	235^th	6265
6	Number of Formal Jobs(Sum,DPE 2022)	62963	245^th	2440
7	Govt Jobs as a % of Working Population(%,DPE 2022)	2	290^th	8560
8	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	315^th	10399
9	Number of PSU Jobs(Number,DPE 2022, )	816	316^th	7197
10	Number of Companies	1876	355^th	7958

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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