This table contains data on the average cost of a market basket of nutritious food items relative to income for female-headed households with children, for California, its regions, counties, and cities/towns. The ratio uses data from the U.S. Department of Agriculture and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. An adequate, nutritious diet is a necessity at all stages of life. Inadequate diets can impair intellectual performance and have been linked to more frequent school absence and poorer educational achievement in children. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type 2 diabetes, and anemia. At least two factors influence the affordability of food and the dietary choices of families – the cost of food and family income. The inability to afford food is a major factor in food insecurity, which has a spectrum of effects including anxiety over food sufficiency or food shortages; reduced quality or desirability of diet; and disrupted eating patterns and reduced food intake. More information about the data table and a data dictionary can be found in the Attachments.

This table contains data on the living wage and the percent of families with incomes below the living wage for California, its counties, regions and cities/towns. Living wage is the wage needed to cover basic family expenses (basic needs budget) plus all relevant taxes; it does not include publicly provided income or housing assistance. The percent of families below the living wage was calculated using data from the Living Wage Calculator and the U.S. Census Bureau, American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. The living wage is the wage or annual income that covers the cost of the bare necessities of life for a worker and his/her family. These necessities include housing, transportation, food, childcare, health care, and payment of taxes. Low income populations and non-white race/ethnic have disproportionately lower wages, poorer housing, and higher levels of food insecurity. More information about the data table and a data dictionary can be found in the About/Attachments section.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Slovenia Expenditure per Household: Average: Consumption: Food and Non-Alcoholic Beverages data was reported at 2,816.990 EUR in 2018. This records an increase from the previous number of 2,671.170 EUR for 2015. Slovenia Expenditure per Household: Average: Consumption: Food and Non-Alcoholic Beverages data is updated yearly, averaging 2,581.045 EUR from Dec 2000 (Median) to 2018, with 14 observations. The data reached an all-time high of 2,866.440 EUR in 2008 and a record low of 2,327.160 EUR in 2000. Slovenia Expenditure per Household: Average: Consumption: Food and Non-Alcoholic Beverages data remains active status in CEIC and is reported by Statistical Office of the Republic of Slovenia. The data is categorized under Global Database’s Slovenia – Table SI.H012: Household Income and Expenditure.

Slovenia Household Expenditure per Capita: Average: Consumption: Food and Non-Alcoholic Beverages data was reported at 1,135.270 EUR in 2018. This records an increase from the previous number of 1,030.800 EUR for 2015. Slovenia Household Expenditure per Capita: Average: Consumption: Food and Non-Alcoholic Beverages data is updated yearly, averaging 977.315 EUR from Dec 2000 (Median) to 2018, with 14 observations. The data reached an all-time high of 1,135.270 EUR in 2018 and a record low of 780.310 EUR in 2000. Slovenia Household Expenditure per Capita: Average: Consumption: Food and Non-Alcoholic Beverages data remains active status in CEIC and is reported by Statistical Office of the Republic of Slovenia. The data is categorized under Global Database’s Slovenia – Table SI.H013: Household Income and Expenditure: per Capita.

Mauritius Average Monthly Household Expenditure: Food and Non Alcoholic Beverages data was reported at 7,140.000 MUR in 2017. This records an increase from the previous number of 6,490.000 MUR for 2012. Mauritius Average Monthly Household Expenditure: Food and Non Alcoholic Beverages data is updated yearly, averaging 6,815.000 MUR from Dec 2012 (Median) to 2017, with 2 observations. The data reached an all-time high of 7,140.000 MUR in 2017 and a record low of 6,490.000 MUR in 2012. Mauritius Average Monthly Household Expenditure: Food and Non Alcoholic Beverages data remains active status in CEIC and is reported by Statistics Mauritius. The data is categorized under Global Database’s Mauritius – Table MU.H001: Average Monthly Income and Expenditure.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Bangladesh HIES: Household Expenditure per Month: Rural: Food data was reported at 13,125.000 BDT in 2022. This records an increase from the previous number of 7,001.000 BDT for 2016. Bangladesh HIES: Household Expenditure per Month: Rural: Food data is updated yearly, averaging 5,543.000 BDT from Dec 2000 (Median) to 2022, with 5 observations. The data reached an all-time high of 13,125.000 BDT in 2022 and a record low of 2,300.000 BDT in 2000. Bangladesh HIES: Household Expenditure per Month: Rural: Food data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics. The data is categorized under Global Database’s Bangladesh – Table BD.H011: Household Income and Expenditure Survey: Average Monthly Expenditure per Household.

Kyrgyzstan Average Monthly Household Expenditure per Capita: CE: Non Food data was reported at 772.800 KGS in 2016. This records a decrease from the previous number of 787.300 KGS for 2015. Kyrgyzstan Average Monthly Household Expenditure per Capita: CE: Non Food data is updated yearly, averaging 527.400 KGS from Dec 2004 (Median) to 2016, with 13 observations. The data reached an all-time high of 787.300 KGS in 2015 and a record low of 211.500 KGS in 2004. Kyrgyzstan Average Monthly Household Expenditure per Capita: CE: Non Food data remains active status in CEIC and is reported by National Statistical Committee of the Kyrgyz Republic. The data is categorized under Global Database’s Kyrgyzstan – Table KG.H003: Household Income and Expenditure.

Iran Household Expenditure: Average: Urban: FB: Food and Beverages data was reported at 99,130,268.000 IRR in 2018. This records an increase from the previous number of 89,975,597.000 IRR for 2017. Iran Household Expenditure: Average: Urban: FB: Food and Beverages data is updated yearly, averaging 39,240,068.500 IRR from Mar 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 99,130,268.000 IRR in 2018 and a record low of 14,979,918.000 IRR in 2005. Iran Household Expenditure: Average: Urban: FB: Food and Beverages data remains active status in CEIC and is reported by Central Bank of the Islamic Republic of Iran. The data is categorized under Global Database’s Iran – Table IR.H001: Household Income and Expenditure: Urban.

Iran Household Expenditure: Average: Urban: Food, Beverages and Tobacco (FB) data was reported at 100,518,914.000 IRR in 2018. This records an increase from the previous number of 91,309,921.000 IRR for 2017. Iran Household Expenditure: Average: Urban: Food, Beverages and Tobacco (FB) data is updated yearly, averaging 30,686,905.000 IRR from Mar 2002 (Median) to 2018, with 17 observations. The data reached an all-time high of 100,518,914.000 IRR in 2018 and a record low of 10,067,005.000 IRR in 2002. Iran Household Expenditure: Average: Urban: Food, Beverages and Tobacco (FB) data remains active status in CEIC and is reported by Central Bank of the Islamic Republic of Iran. The data is categorized under Global Database’s Iran – Table IR.H001: Household Income and Expenditure: Urban.

Average weekly household expenditure on goods and services in the UK. Data are shown by region, age, income (including equivalised) group (deciles and quintiles), economic status, socio-economic class, housing tenure, output area classification, urban and rural areas (Great Britain only), place of purchase and household composition.

Survey of Household Spending (SHS), average household spending on detailed food categories.

Average hourly and weekly wage rate, and median hourly and weekly wage rate by North American Industry Classification System (NAICS), type of work, gender, and age group.

Survey of Household Spending (SHS), average household spending, Canada, regions and provinces.

Inflation Rate in India decreased to 2.82 percent in May from 3.16 percent in April of 2025. This dataset provides - India Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Survey of Household Spending (SHS), average household spending by household type.

The data set contains five tables: savings and deposit account balances of urban and rural residents; the per capita income, expenditure and Engel's coefficient for urban residents; the per capita income, expenditure and Engel's coefficient for rural residents; the average salary and index of employees; and the per capita main economic indicators of each county. The data set includes time series data on savings and deposit account balances of urban and rural residents, income, consumption expenditure, food expenditure, and salaries for various types of employees from 1952 to 2016. The data were derived from the Qinghai Society and Economics Statistical Yearbook and Qinghai Statistical Yearbook. The accuracy of the data is consistent with that of the statistical yearbooks.

Table 1: The table of savings and deposit account balances of urban and rural residents contains 5 fields. Field 1: Year of the data Field 2: Total of savings and deposits Field 3: The savings and deposits of urban residents, unit: 10,000 yuan Field 4: The savings and deposits of farmers and herdsmen, unit: 10,000 yuan Field 5: Per capita savings of urban and rural residents, unit: yuan/person

Table 2: The table of per capita income, expenditure and Engel's coefficient for urban residents contains 5 fields. Field 1: Year of the data Field 2: Disposable income, unit: yuan Field 3: Consumption expenditure, unit: yuan Field 4: Food expenditure, unit: yuan Field 5: Engel's coefficient, unit: %

Table 3: The table of per capita income, expenditure and Engel's coefficient for rural residents contains 5 fields. Field 1: Year of the data Field 2: Net income, unit: yuan Field 3: Consumption expenditure, unit: yuan Field 4: Food expenditure, unit: yuan Field 5: Engel's coefficient, unit: %

Table 4: The table of average salary and index of employees contains 9 fields. Field 1: Year of the data Field 2: Total of average salary, unit: yuan Field 3: Salaries at state-owned institutions, unit: yuan Field 4: Salaries at town-collective institutions, unit: yuan Field 5: Salaries at other institutions, unit: yuan Field 6: Total average salary compared with the previous year, unit: % Field 7: Average salary of state-owned institutions compared with the previous year, unit: % Field 8: Average salary of town-collective institutions compared with the previous year, unit: % Field 9: Average salary of other institutions compared with the previous year, unit: %

Table 5: The table of main per capita economic indicators for each county contains 6 fields. Field 1: Districts and counties Field 2: Year Field 3: Savings and deposit account balances of urban and rural residents Field 4: Per capita grain possession, unit: kilogram Field 5: Per capita GDP, unit: yuan Field 6: Per capita local fiscal revenue

Bulgaria Household Expenditure: Avg: SP: CM: Food & Non Alcoholic Beverages data was reported at 1,765.600 BGN in Dec 2024. This records an increase from the previous number of 1,760.980 BGN for Sep 2024. Bulgaria Household Expenditure: Avg: SP: CM: Food & Non Alcoholic Beverages data is updated quarterly, averaging 924.850 BGN from Mar 2010 (Median) to Dec 2024, with 60 observations. The data reached an all-time high of 1,765.600 BGN in Dec 2024 and a record low of 682.070 BGN in Mar 2010. Bulgaria Household Expenditure: Avg: SP: CM: Food & Non Alcoholic Beverages data remains active status in CEIC and is reported by National Statistical Institute. The data is categorized under Global Database’s Bulgaria – Table BG.H024: Household Income and Expenditure: Quarterly.

Kyrgyzstan Average Monthly Household Expenditure per Capita: CE: Food data was reported at 1,477.120 KGS in 2017. This records a decrease from the previous number of 1,515.200 KGS for 2016. Kyrgyzstan Average Monthly Household Expenditure per Capita: CE: Food data is updated yearly, averaging 365.138 KGS from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 1,564.900 KGS in 2015 and a record low of 1.716 KGS in 1990. Kyrgyzstan Average Monthly Household Expenditure per Capita: CE: Food data remains active status in CEIC and is reported by National Statistical Committee of the Kyrgyz Republic. The data is categorized under Global Database’s Kyrgyzstan – Table KG.H003: Household Income and Expenditure.