Gross State Domestic Product Contribution to National Gross Domestic Product (GDP): Andhra Pradesh data was reported at 4.779 % in 2024. This records a decrease from the previous number of 4.848 % for 2023. Gross State Domestic Product Contribution to National Gross Domestic Product (GDP): Andhra Pradesh data is updated yearly, averaging 4.431 % from Mar 2005 (Median) to 2024, with 20 observations. The data reached an all-time high of 4.929 % in 2021 and a record low of 4.133 % in 2014. Gross State Domestic Product Contribution to National Gross Domestic Product (GDP): Andhra Pradesh data remains active status in CEIC and is reported by CEIC Data. The data is categorized under India Premium Database’s General Election – Table IN.GEI003: Memo Items: State Economy: Gross State Domestic Product: Contribution: National Gross Domestic Product. Data prior to 2012 is based on GDP at Factor Cost

This Dataset contains state-wise share of GDP.

Note: 1) Share of state is calculated as GSDP of state as a ratio of sum of GSDP of all states. 2) For 1960-61 and 1970-71, ratio is calculated as NSDP of state divided by sum of NSDP of all states. 3) Telangana was bifurcated from Andhra Pradesh in 2014, however the data is available since 2010-11. 4) Data for Andhra Pradesh, Bihar, Madhya Pradesh and Uttar Pradesh are given for both before and after bifurcation separately

44.456.427,00 (%) in 2015. Real Growth Rate of States in GSDP at Constant price (94-95 to 11-12)

The estimated per capita income across the southern state of Andhra Pradesh in India stood at around 242 thousand Indian rupees in financial year 2024. There was a consistent increase in the income per capita in the state since financial year 2012. However, it had the lowest per capita income among the states in the southern part of India.

270,295 (INR, lakhs) in 2023. A lakh is a unit in the Indian numbering system equal to one hundred thousand (100,000)

Gross State Domestic Product (GSDP): 2004-05p: Andhra Pradesh data was reported at 2,645,209.200 INR mn in 2015. This records an increase from the previous number of 2,467,237.300 INR mn for 2014. Gross State Domestic Product (GSDP): 2004-05p: Andhra Pradesh data is updated yearly, averaging 1,949,939.599 INR mn from Mar 2005 (Median) to 2015, with 11 observations. The data reached an all-time high of 2,645,209.200 INR mn in 2015 and a record low of 1,347,668.834 INR mn in 2005. Gross State Domestic Product (GSDP): 2004-05p: Andhra Pradesh data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under Global Database’s India – Table IN.GEI002: Memo Items: State Economy: Gross State Domestic Product. Rebased from 2004-2005 base to 2011-2012 base. Replacement series ID: 374618267

Andhra Pradesh made up about 636 billion Indian rupees in gross valued added from fish products towards agriculture across India in fiscal year 2021. The GVA from this state made up about 40 percent of fish products nationwide. Fishing was valued at over 1.5 trillion rupees in GVA in the Indian economy that fiscal year.

143.967.387 (INR, lakhs) in 2023. A lakh is a unit in the Indian numbering system equal to one hundred thousand (100,000)

India NAS 1999-2000: Gross District Domestic Product: Andhra Pradesh: Hyderabad data was reported at 252,718.300 INR mn in 2008. This records an increase from the previous number of 217,092.100 INR mn for 2007. India NAS 1999-2000: Gross District Domestic Product: Andhra Pradesh: Hyderabad data is updated yearly, averaging 145,421.700 INR mn from Mar 2000 (Median) to 2008, with 9 observations. The data reached an all-time high of 252,718.300 INR mn in 2008 and a record low of 92,134.000 INR mn in 2000. India NAS 1999-2000: Gross District Domestic Product: Andhra Pradesh: Hyderabad data remains active status in CEIC and is reported by Planning Commission. The data is categorized under India Premium Database’s National Accounts – Table IN.AN001: Gross District Domestic Product: Current Price.

Census: Population: Andhra Pradesh: Guntakal data was reported at 126,270.000 Person in 03-01-2011. This records an increase from the previous number of 117,103.000 Person for 03-01-2001. Census: Population: Andhra Pradesh: Guntakal data is updated decadal, averaging 57,201.500 Person from Mar 1921 (Median) to 03-01-2011, with 10 observations. The data reached an all-time high of 126,270.000 Person in 03-01-2011 and a record low of 12,519.000 Person in 03-01-1921. Census: Population: Andhra Pradesh: Guntakal 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.GAC002: Census: Population: By Towns and Urban Agglomerations: Andhra Pradesh.

The gross value added from livestock sector across Andhra Pradesh amounted to over 609 billion Indian rupees in fiscal year 2020. The southern state contributed about eight percent to the economic value in India from this sector. Livestock products contributed over seven trillion rupees that year to the country's economy.

Census: Population: Andhra Pradesh: Miryalaguda data was reported at 104,956.000 Person in 03-01-2011. This records an increase from the previous number of 91,359.000 Person for 03-01-2001. Census: Population: Andhra Pradesh: Miryalaguda data is updated decadal, averaging 31,696.000 Person from Mar 1941 (Median) to 03-01-2011, with 8 observations. The data reached an all-time high of 104,956.000 Person in 03-01-2011 and a record low of 5,628.000 Person in 03-01-1941. Census: Population: Andhra Pradesh: Miryalaguda 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.GAC033: Census: Population: By Towns and Urban Agglomerations: Telangana.

Abstract

This survey was conducted in India between June 2013 and December 2014 as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

Data from 9,281 formal establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. Data was collected using face-to-face interviews.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample was selected using stratified random sampling. Three levels of stratification were used: industry, establishment size, and region.

For stratification by industry, the universe was stratified into 11 manufacturing industries (food, textiles, chemicals, rubber/plastics, non-metallic mineral products, basic metals, fabricated metal products, machinery and equipment, electrical machinery and communications equipment, motor vehicles, and other manufacturing), and 7 services industries (construction, sales and repair of motor vehicles, wholesale, retail, hotels and restaurants, transportation/storage/communications, and IT).

Size stratification was defined following the standardized definition for the rollout: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers. This seems to be an appropriate definition of the labor force since seasonal/casual/part-time employment is not common practice, apart from the construction and agriculture sectors which are not included in the survey.

Regional stratification was defined in 23 states. Delhi was included as a state for stratification purposes, whereas the 6 other UT's were excluded from the survey project (due to their very small size and low contribution to national GDP). The states of Sikkim and Mizoram were also excluded as their share of national GDP was less than 0.1%. At the onset of the survey project, Andhra Pradesh included Telangana (hence Telangana was not considered as its own state). The states of Arunachal Pradesh, Nagaland, Manipur, Tripura, and Meghalaya were combined and considered one state (Arunachal Pradesh) for the purposes of stratification. The survey focused on major cities and the surrounding business area.

For manufacturing establishments, the sample frame used for the survey in India was from the 2013 Annual Survey of Industries compiled by the Central Statistics Office of the Ministry of Statistics and Programme Implementation.

For services establishments, industry associations lists were used to create lists from which to randomly sample from.

Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 14.9% (566 out of 3,789 establishments).

Mode of data collection

Face-to-face [f2f]

Research instrument

The structure of the data base reflects the fact that two different versions of the questionnaire were used for 3 categories of businesses (manufacturing, retail, and other services/non-retail). The Manufacturing Questionnaire includes all common questions asked to all establishments and some specific questions relevant to manufacturing firms. The Services Questionnaire, administered to retail and other services/non-retail establishments, includes all common questions asked to all establishments and some specific questions relevant retail and other services firms. Each variation of the questionnaire is identified by the index variable, a0.

All variables are named using, first, the letter of each section and, second, the number of the variable within the section, i.e. a1 denotes section A, question 1. Variable names proceeded by a prefix "SAR" or "IND" indicate questions specific to the South Asia region or India only, therefore, they may not be found in the implementation of the rollout in other countries. All other suffixed variables are global and are present in all country surveys over the world. All variables are numeric with the exception of those variables with an "x" at the end of their names. The suffix "x" denotes that the variable is alpha-numeric.

Cleaning operations

Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

Response rate

Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect the refusal to respond as a different option from don’t know. b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.