The estimated per capita income across the northern state of Himachal Pradesh in India stood at around *** thousand Indian rupees in the financial year 2024. There was a consistent increase in the income per capita in the state since the financial year 2012 till 2020. Sikkim recorded the highest per capita income in the country.

NSDP Per Capita: Himachal Pradesh data was reported at 257,212.048 INR in 2025. This records an increase from the previous number of 234,782.257 INR for 2024. NSDP Per Capita: Himachal Pradesh data is updated yearly, averaging 169,530.869 INR from Mar 2012 (Median) to 2025, with 14 observations. The data reached an all-time high of 257,212.048 INR in 2025 and a record low of 87,720.987 INR in 2012. NSDP Per Capita: Himachal 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.GEI004: Memo Items: State Economy: Net State Domestic Product per Capita.

The dataset provides the per capita income of Himachal Pradesh, a state in northern India, over the years from 1950-51 to 2021-22. It provides the per capita income both at current prices and constant prices. The dataset also gives a glimpse of the economic growth and development of the state over the years.

Expenditure on Education: Himachal Pradesh: Revenue Account data was reported at 84,132,779.000 INR th in 2021. This records an increase from the previous number of 77,216,367.000 INR th for 2020. Expenditure on Education: Himachal Pradesh: Revenue Account data is updated yearly, averaging 34,983,346.000 INR th from Mar 2005 (Median) to 2021, with 17 observations. The data reached an all-time high of 84,132,779.000 INR th in 2021 and a record low of 11,051,700.000 INR th in 2005. Expenditure on Education: Himachal Pradesh: Revenue Account data remains active status in CEIC and is reported by Ministry of Education. The data is categorized under India Premium Database’s Education Sector – Table IN.EDE004: Memo Items: Expenditure on Education: Revenue Account: by States.

Distribution of cardiovascular risk factors by household income of Solan Surveillance Study participants.

BackgroundAlthough most Indians live in rural settings, data on cardiovascular disease risk factors in these groups are limited. We describe the association between socioeconomic position and cardiovascular disease risk factors in a large rural population in north India.MethodsWe performed representative, community-based sampling from 2013 to 2014 of Solan district in Himachal Pradesh. We used education, occupation, household income, and household assets as indicators of socioeconomic position. We used tobacco use, alcohol use, low physical activity, obesity, hypertension, and diabetes as risk factors for cardiovascular disease. We performed hierarchical multivariable logistic regression, adjusting for age, sex and clustering of the health sub-centers, to evaluate the cross-sectional association of socioeconomic position indicators and cardiovascular disease risk factors.ResultsAmong 38,457 participants, mean (SD) age was 42.7 (15.9) years, and 57% were women. The odds of tobacco use was lowest in participants with graduate school and above education (adjusted OR 0.11, 95% CI 0.09, 0.13), household income >15,000 INR (adjusted OR 0.35, 95% CI 0.29, 0.43), and highest quartile of assets (adjusted OR 0.28, 95% CI 0.24, 0.34) compared with other groups but not occupation (skilled worker adjusted OR 0.93, 95% CI 0.74, 1.16). Alcohol use was lower among individuals in the higher quartile of income (adjusted OR 0.75, 95% CI 0.64, 0.88) and assets (adjusted OR 0.70, 95% CI 0.59, 0.82). The odds of obesity was highest in participants with graduate school and above education (adjusted OR 2.33, 95% CI 1.85, 2.94), household income > 15,000 Indian rupees (adjusted OR 1.89, 95% CI 1.63, 2.19), and highest quartile of household assets (adjusted OR 2.87, 95% CI 2.39, 3.45). The odds of prevalent hypertension and diabetes were also generally higher among individuals with higher socioeconomic position.ConclusionsIndividuals with lower socioeconomic position in Himachal Pradesh were more likely to have abnormal behavioral risk factors, and individuals with higher socioeconomic position were more likely to have abnormal clinical risk factors.