The statistic shows the population of Pune in India from 1975 to 2015. In 2015, the population of Pune amounted to about *** million inhabitants, showing an increase of approximately *** million inhabitants compared to the year 2000.

Census: Population: City: Pune data was reported at 5,751.182 Person th in 03-01-2011. This records an increase from the previous number of 3,755.000 Person th for 03-01-2001. Census: Population: City: Pune data is updated decadal, averaging 3,755.000 Person th from Mar 1991 (Median) to 03-01-2011, with 3 observations. The data reached an all-time high of 5,751.182 Person th in 03-01-2011 and a record low of 2,494.000 Person th in 03-01-1991. Census: Population: City: Pune data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB004: Census: Population: by Selected Cities.

Census: Population: Maharashtra: Pune data was reported at 5,049,968.000 Person in 03-01-2011. This records an increase from the previous number of 3,760,636.000 Person for 03-01-2001. Census: Population: Maharashtra: Pune data is updated decadal, averaging 699,716.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 5,049,968.000 Person in 03-01-2011 and a record low of 164,117.000 Person in 03-01-1901. Census: Population: Maharashtra: Pune data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC021: Census: Population: By Towns and Urban Agglomerations: Maharashtra.

According to the 2011 census, the population density in the Indian state of Maharashtra was 365 individuals per square kilometer. Located on the Deccan Plateau, it is the second-most populous state in the country. A steady increase in the population of the state can be attributed to growing urban districts such as Mumbai and Pune, with diverse employment opportunities in several sectors.

India's economic powerhouse

With a contribution of over 22 trillion Indian rupees in the financial year 2017, the state of Maharashtra had the highest gross state domestic product in the country. A per capita income of over 175 thousand Indian rupees was estimated across the state for the preceding year. Based on its economic model, the state was a highly preferred destination for domestic and foreign investments.

The most populous Indian state

Mumbai, the capital city of Maharashtra, was the most populous city after Delhi. As the country's economic core, it serves as the financial and commercial capital while providing numerous job opportunities. Many are attracted to this dream city in search of a lucrative career and to make it big in the world-famous Bollywood film industry.

Census: Population: Maharashtra: Pune: Female data was reported at 2,390,484.000 Person in 03-01-2011. This records an increase from the previous number of 1,780,015.000 Person for 03-01-2001. Census: Population: Maharashtra: Pune: Female data is updated decadal, averaging 321,611.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 2,390,484.000 Person in 03-01-2011 and a record low of 77,821.000 Person in 03-01-1901. Census: Population: Maharashtra: Pune: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC021: Census: Population: By Towns and Urban Agglomerations: Maharashtra.

Delhi was the largest city in terms of number of inhabitants in India in 2023.The capital city was estimated to house nearly 33 million people, with Mumbai ranking second that year. India's population estimate was 1.4 billion, ahead of China that same year.

Census: Population: Maharashtra: Pune: Male data was reported at 2,659,484.000 Person in 03-01-2011. This records an increase from the previous number of 1,980,621.000 Person for 03-01-2001. Census: Population: Maharashtra: Pune: Male data is updated decadal, averaging 378,105.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 2,659,484.000 Person in 03-01-2011 and a record low of 86,296.000 Person in 03-01-1901. Census: Population: Maharashtra: Pune: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC021: Census: Population: By Towns and Urban Agglomerations: Maharashtra.

Abstract

Vadu Rural Health Program, KEM Hospital Research Centre Pune has a rich tradition in health care and development being in the forefront of needs-based, issue-driven research over almost 35 years. During the decades of 1980 and 1990 the research at Vadu focused on mother and child with epidemiological and social science research exploring low birth weight, child survival, maternal mortality, safe abortion and domestic violence. The research portfolio has ever since expanded to include adult health and aging, non-communicable and communicable diseases and to clinical trials in recent years. It started with establishment of Health and Demographic Surveillance System at Vadu (HDSS Vadu) in August, 2002 that seeks to establish a quasi-experimental design setting to allow evaluation of impact of health interventions as well as monitor secular trends in diseases, risk factors and health behavior of humans.

The term "demographic surveillance" means to keep close track of the population dynamics. Vadu HDSS deals with keeping track of health issues and demographic changes in Vadu rural health program (VRHP) area. It is one of the most promising projects of national relevance that aims at establishing a quasi-experimental intervention research setting with the following objectives: 1) To create a longitudinal data base for efficient service delivery, future research, and linking all past micro-studies in Vadu area 2) Monitoring trends in public health problems 3) Keeping track of population dynamics 4) Evaluating intervention services

This dataset contains the events of all individuals ever resident during the study period (1 Jan. 2009 to 31 Dec. 2015).

Geographic coverage

Vadu HDSS falls in two administrative blocks: (1) Shirur and (2) Haweli of Pune district in Maharashtra in western India. It covers an area of approximately 232 square kilometers.

Analysis unit

Individual

Universe

Vadu HDSS covers as many as 50,000 households having 140,000 population spread across 22 villages.

Kind of data

Event history data

Frequency of data collection

Two rounds per year

Sampling procedure

Vadu area including 22 villages in two administrative blocks is the study area. This area was selected as this is primarily coverage area of Vadu Rural Health Program which is in function since more than four decade. Every individual household is included in HDSS. There is no sampling strategy employed as 100% population coverage in the area is expected.

Mode of data collection

Proxy Respondent [proxy]

Research instrument

Language of communication is in Marath or Hindi. The form labels are multilingual - in English and Marathi, but the data entered through the forms are in English only.

The following forms were used: - Field Worker Checklist Form - The checklist provides a guideline to ensure that all the households are covered during the round and the events occurred in each household are captured. - Enumeration Form: To capture the population details at the start of the HDSS or any addition of villages afterwards. - Pregnancy Form: To capture pregnancy details of women in the age group 15 to 49. - Birth Form: To capture the details of the birth events.
- Inmigration Form: To capture inward population movement from outside the HDSS area and also for movement within the HDSS area. - Outmigration Form: To capture outward population movement from inside the HDSS area and also for movement within the HDSS area. - Death Form: To capture death events.

Cleaning operations

Entered data undergo a data cleaning process. During the cleaning process all error data are either corrected in consultaiton with the data QC team or the respective forms are sent back to the field for re collection of correct data. Data editors have the access to the raw dataset for making necessary editing after corrected data are bought from the field.

For all individuals whose enumeration (ENU), Inmigration (IMG) or Birth (BTH) have occurred before the left censoring date (2009-01-01) and have not outmigrated (OMG) or not died (DTH) before the left censoring date (2009-01-01) are included in the dataset as Enumeration (ENU) with EventDate as the left censored date (2009-01-01). But the actual date of observation of the event (ENU, BTH, IMG) is retained in the dataset as observation date for these left censored ENU events. The individual is dropped from the dataset if their end event (OMG or DTH) is prior to the left censoring date (2009-01-01)

Response rate

On an average the response rate is 99.99% in all rounds over the years.

Sampling error estimates

Not Applicable

Data appraisal

Data is cleaned to an acceptable level against the standard data rules using Pentaho Data Integration Comminity Edition (PDI CE) tool. After the cleaning process, quality metrics were as follows:

CentreId MetricTable QMetric Illegal Legal Total Metric RunDate IN021 MicroDataCleaned Starts 1 301112 301113 0. 2017-05-31 20:06
IN021 MicroDataCleaned Transitions 0 667010 667010 0. 2017-05-31 20:07
IN021 MicroDataCleaned Ends 301113 2017-05-31 20:07
IN021 MicroDataCleaned SexValues 29 666981 667010 0. 2017-05-31 20:07
IN021 MicroDataCleaned DoBValues 575 666435 667010 0. 2017-05-31 20:07

Note: Except lower under five mortality in 2012 and lower adult mortality among females in 2013, all other estimates are fairly within expected range. Data underwent additional review in terms of electronic data capture, data cleaning and management to look for reasons for lower under five mortality rates in 2013 and lower female adult mortality in 2013. The additional review returned marginally higher rates and this supplements the validity of collected data. Further field related review of 2012 and 2013 data are underway and any revisions to published data/figures will be shared at a later stage.

Comprehensive population and demographic data for Jarewadi Village

Comprehensive population and demographic data for Rahu Village

Census: Population: City: Pune在03-01-2011达5,751.182Person th，相较于03-01-2001的3,755.000Person th有所增长。Census: Population: City: Pune数据按decadal更新，03-01-1991至03-01-2011期间平均值为3,755.000Person th，共3份观测结果。该数据的历史最高值出现于03-01-2011，达5,751.182Person th，而历史最低值则出现于03-01-1991，为2,494.000Person th。CEIC提供的Census: Population: City: Pune数据处于定期更新的状态，数据来源于Office of the Registrar General & Census Commissioner, India，数据归类于India Premium Database的Demographic – Table IN.GAB004: Census: Population: by Selected Cities。

1Adjusted hospitalization incidence = (unadjusted incidence)/(% of acute medical hospitalizations reported on health utilization survey that occurred at study facilities).2Adjustment factor = proportion of acute medical hospitalizations reported on HUS that occurred at study facilities.

In 2025, the employability rate in the Indian city of Pune was estimated to be **** percent. It was followed by the southern Indian city of Bengaluru, with an employability of about ** percent. Bengaluru, was the most preferred city to work in the country.

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Comprehensive population and demographic data for Jambavade Village

In a survey conducted in 2022 among respondents from megacities of India, Pune-Pimpri Chinwad emerged on top in terms of inclusive mobility with a score of ****, among all megacities of India. It was closely followed by Mumbai and Bengaluru. The parameter of inclusive mobility includes mobility systems meeting the needs of diverse group of populations including women, children, trans/non-binary, the elderly, the disabled among others.. Megacities are defined as cities with a population of over ************ as per the survey. The Ease of Moving Index is a composite index comprising **** parameters across ** indicators. The parameters include seamless, inclusive, clean, efficient and shared mobility and investment in the city among others.

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Comprehensive population and demographic data for Donde Village

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Comprehensive population and demographic data for Pusane Village