NITI Aayog has brought out a `Handbook of State Statistics' that consolidates key statistics across sectors for every Indian state/union territory. While the state data on crucial indicators currently remain fragmented across different sources, this handbook provides a one-stop database of important state statistics.
Starting with gross state domestic product (GSDP), the handbook provides sectoral compositions of state economies from 1980-81 to the latest possible year. Five different GSDP series are available between 1980-81 and now, and the database covers state government finances from 1981 to 2017 across indicators such as gross fiscal deficits, revenue deficits, social sector expenditure, capital expenditure etc.
Labour statistics from the National Sample Surveys (NSS), statistics on labour force participation rates (LFPR), worker-population ratio (WPR) by industry and unemployment rates are also presented.
Data on education covers primary, secondary and tertiary levels, including enrolment ratios in schools, teachers and performance indicators, among others.
Some of the health indicators covered by the handbook include infant mortality rate (IMR), birth rates, life expectancy, sex ratio at birth, immunisation and institutional deliveries among others. For certain indicators such as IMR, TFR, birth rates, data from 1971 onwards to 2015 is available. For other indicators the data series starts in 2005.
The infrastructure section provides basic information regarding infrastructure development in states. Data on road length, installed capacity, electricity generation and household electrification amongst other indicators is presented.
For most cases, the data series spans the years 2005 to 2015.
The final section of the publication provides state-wise estimates of poverty numbers.
Data has been presented according to the Lakdawala Methodology (data from 1973-74 to 2004-05) and the Tendulkar Methodology (data from 1993-94 to 2011-12).
However, this data selection is not of annual frequency. Rather, it is quinquennial, as estimates for poverty are derived from NSS Household Consumption Surveys.