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Knowledge Webs for Smarter Governance

PRARANG

Knowledge Webs for Smarter Governance

Bengaluru (Bengaluru Rural) Analytics

languages
City (district capitals)/DHQ

1. Kannada : 3,574,226
2. English Multilingual Population : 1,503,025
3. Tamil : 1,388,305

Number Of Languages spoken by more then 30K Population : 11

Basic Details

City (District Capitals)/DHQ Population :	:	268,744
City(District Capitals)/DHQ Population (Rank)	:	161^st
District Area (km²)	:	2,239
District Area (Rank)	:	547^th
No.of Towns in District	:	716
No. of Villages in District	:	390

What is A.I.? FAQ

Bengaluru (Bengaluru Rural) Highlights: India City/Districts Comparison

Bengaluru (Bengaluru Rural) is the 161^st ranked city in population, out of 768 District Capitals (DHQs) of India. It is the capital of Bengaluru (Bengaluru Rural) District in Karnataka State. Bengaluru Rural District is 474^th highest ranked in population & 547^th ranked in area, in India. Please keep the DHQ rank in perspective, for the highlights below.

Better than India Average-

1.
Bengaluru (Bengaluru Rural) is the 1^st highest ranked in # of Population (0-18)(No,Census 2011) out of 768 city/districts of India. This indicates that this district has a higher birth rate.

2.
The average # of Higher Education Enrolments % of Pop(No, UDISE 2021)? of Indian city (district capitals)/districts is 2. Bengaluru (Bengaluru Rural) is the 1^st highest ranked city out of 768 city/districts. This indicates that this district is more urbanized and/or has a better-developed educational infrastructure compared to other districts.

3.
Out of 768 District Capitals/Districts of India, Bengaluru (Bengaluru Rural) is the 1^st highest ranked in Kannada Script . This indicates a high pool of literate kannada population compared to other cities.

Worse than India Average-

1.
Bengaluru (Bengaluru Rural) is the 385^th worst ranked in Urban Internet Pop/City Pop(%, TRAI June 2023) out of 768 city/districts of India. This indicates higher number of state urban internet users as reported in TRAI quarterly report vis a vis other state's urban internet users.

2.
The Average GDP per Capita ('000', RBI SCB 2023) of Indian City (District Capitals)/Districts is Bengaluru (Bengaluru Rural) is the 304^th worst ranked City out of 768 City/Districts.This implies that this district is highly urbanised / high GDP top 40 metropolis.

3.
Out of 768 District Capitals/Districts of India, Bengaluru (Bengaluru Rural) is the 277^th worst ranked in No of Community Health Centers .This implies that the government has paid more attention to healthcare in this district compared to other districts.

Bengaluru (Bengaluru Rural) City/District Metrics

Culture

Nature

Internet

Bengaluru (Bengaluru Rural) Nature Highlights

	Nature Metrics	% of India	Rank Out of 768	City / Districts Data

Bengaluru (Bengaluru Rural) Culture Highlights

Sr.No	Culture Metrics	Counts	Name

Airports

	Name	City	IATA Code	Distance
Airport Name	Kempegowda International Airport	Bengaluru	BLR	18 Km

No Data found.

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^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	135^th	9978
2	No of Doctors	1634	182^nd	9614
3	No of Nurses	3328	203^rd	10607
4	No of Primary Health Centers	47	302^nd	5030

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	No of Total Hospitals	59	22^nd	6309
2	No of Hospital Beds	1381	39^th	10414
3	No of Community Health Centers	9	277^th	7730

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Bank Deposit-Bank Loans (Crores, RBI SCB 2023)	8029	146^th	9401
2	Bank Credit - Bank Debit/No. of banks (Crore, RBI SCB 2023)	21	171^st	9438

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Banks(No, RBI SCB Q4 2022)	221	6^th	8567
2	GDP (Crores. RBI SCB 2023)	38608	44^th	4156
3	Bank Deposits(Crore, RBI SCB Q4 2022)	45441	65^th	10472
4	Bank Credit(Crore, RBI SCB Q4 2022)	37411	91^st	1972
5	GDP per Capita ('000', RBI SCB 2023)	153	304^th	10109

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^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	27^th	5632

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Sex-Ratio (1000) (%, Census 2011)	949	154^th	7483
2	Population per sq. km. (Km, Census 2011)	1017	227^th	6801

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	# of Population (0-18)(No,Census 2011)	136937	1^st	7747
2	# of Higher Education Enrolments % of Pop(No, UDISE 2021)?	2	1^st	3410
3	# of Colleges(No,AISHE 2020)	56	2^nd	4077
4	# of UG Enrolments - Commerce(No,AISHE 2020)	4172	2^nd	3494
5	# of UG Enrolments - Medical(No,AISHE 2020)	358	2^nd	11155
6	# of PG Enrolments - Commerce(No,AISHE 2020)	344	2^nd	3095
7	# of Master's Enrolment(No,AISHE 2020)	6137	3^rd	3650
8	# of UG Enrolments - Engg(No,AISHE 2020)	5379	3^rd	10138
9	# of PG Enrolments - Engg(No,AISHE 2020)	250	3^rd	10110
10	Population (18-24) (Number, 2023)	208496	4^th	2776
11	# of Enrolment in Private and Government Colleges(No,AISHE 2020)	36821	4^th	8177
12	# of Bachelor's Enrolment(No,AISHE 2020)	42477	4^th	3942
13	# of Diploma(No,AISHE 2020)	3877	4^th	9139
14	# of ITIS seats(No,AISHE 2020)	4706	4^th	2113
15	# of Total Enrolments(No,AISHE 2020)	49523	4^th	8032
16	# of UG Enrolments - Law(No,AISHE 2020)	654	4^th	7526
17	# of UG Enrolments - Management(No,AISHE 2020)	719	4^th	10934
18	# of UG Enrolments - Teaching(No,AISHE 2020)	2447	4^th	8085
19	# of Universities(No,AISHE 2020)	1	5^th	4119
20	# of Ph.D Enrolments(No,AISHE 2020)	275	5^th	9212
21	# of PG Enrolments - Management(No,AISHE 2020)	591	5^th	5951
22	# of UG Enrolments - Arts (No,AISHE 2020)	9152	8^th	6553
23	# of PG Enrolments - Arts(No,AISHE 2020)	1087	8^th	1910
24	# of UG Enrolments - Science(No,AISHE 2020)	6311	10^th	4445
25	# of PG Enrolments - Science(No,AISHE 2020)	1015	10^th	8975
26	# of UG Diploma Enrolments(No,AISHE 2020)	334	22^nd	1940
27	Gross Enrolment Ratio (GER) in Higher Education (18-23 Years)(No,AISHE 2020)	28	179^th	5723

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of No. of Schools(No, UDISE 2021)?	1937	164^th	3525

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Number of Panchayats(Number , Census 2011)	745	69^th	7860
2	Number of Police Stations(NO, IPC 2020)	22	113^th	4428

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Internet Connections(No, TRAI 2023)	593683	4^th	10667

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Linkedin Audience Size(No, Linked in 2023)	114666	269^th	3173
2	Urban Internet Pop/City Pop(%, TRAI June 2023)	165	385^th	7402

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	DHQ Mother Tongue Population (No, Census 2011)	254303	1^st	3464
2	Kannada Script	23603	1^st	6349
3	Tamil Script	23886	2^nd	9399
4	English Multilingual Population	50193	2^nd	4664
5	Script Pools # < 30,000	1	2^nd	1333
6	Malayalam Script	6112	3^rd	9092
7	Perso-Arabic Script (Urdu)	33190	3^rd	8605
8	Telugu Script	39429	4^th	5881
9	Odia Script	5442	14^th	6560
10	Marathi Script	27903	15^th	1949
11	Latin Script (English)	2647	15^th	5875
12	Bengali Script	13153	22^nd	2196
13	Gujarati Script	25953	29^th	1676
14	Assamese Script	3229	30^th	6263
15	Devnagri Script (Hindi)	137058	31^st	11062
16	Gurumukhi Script (Punjabi)	10774	46^th	2607
17	Literacy (%, Census 2023)Estd	78	49^th	9734

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^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	39^th	4493
2	Total Annual Newspaper Circulation(No, RNI 2020)	597414	195^th	10212

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	# of Inhabited Villages	747	69^th	10207
2	# of Uninhabited Villages	54	123^rd	2957

Negative Metrics:

Population: 268,744 | Population Rank: 161^st

Area (KM²): 2,239 | Area Rank: 547^th

Positive Metrics:

Sr.	Fields	India Average	Rank out of 768	City / District Data
Better than India Average-
1	Number of Formal Jobs(Sum,DPE 2022)	62963	2^nd	3651
2	Number of Informal Jobs (Including all Unemployed) (Number, Labour Ministry Quarterly employment Survey 2022 and Sengupta committee)	760882	2^nd	4936
3	Number of State Government Jobs	25127	4^th	7524
4	Formal Jobs as a % of working Pop(%,DPE 2022)	2	4^th	8134
5	Number of Private Jobs( Number, Labour Ministry Quarterly employment Survey 2022)	16177	5^th	11003
6	Number of Central Government Jobs (Number,DOE Annual Report 2018)	2531	10^th	2886
7	Number of PSU Jobs(Number,DPE 2022, )	816	10^th	1870

Sr.	Fields	India Average	Rank out of 768	City / District Data
Worse than India Average-
1	Working Population 2023(Number,Census 2011)	1121530	161^st	5718

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.