Chile SS: Average Retirement Income: Tarapacá data was reported at 244,870.943 CLP in 2017. This records an increase from the previous number of 240,989.533 CLP for 2015. Chile SS: Average Retirement Income: Tarapacá data is updated yearly, averaging 194,983.309 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 244,870.943 CLP in 2017 and a record low of 156,057.065 CLP in 2011. Chile SS: Average Retirement Income: Tarapacá data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

Chile SS: Average Retirement Income: Arica & Parinacota data was reported at 226,702.108 CLP in 2017. This records an increase from the previous number of 198,250.527 CLP for 2015. Chile SS: Average Retirement Income: Arica & Parinacota data is updated yearly, averaging 198,250.527 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 226,702.108 CLP in 2017 and a record low of 158,764.269 CLP in 2011. Chile SS: Average Retirement Income: Arica & Parinacota data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

In 2023, the real median household income for householders aged 15 to 24 was at 54,930 U.S. dollars. The highest median household income was found amongst those aged between 45 and 54. Household median income for the United States since 1990 can be accessed here.

Chile SS: Average Retirement Income: O'Higgins data was reported at 234,468.012 CLP in 2017. This records an increase from the previous number of 210,652.835 CLP for 2015. Chile SS: Average Retirement Income: O'Higgins data is updated yearly, averaging 175,615.042 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 234,468.012 CLP in 2017 and a record low of 150,824.931 CLP in 2009. Chile SS: Average Retirement Income: O'Higgins data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

Income of individuals by age group, sex and income source, Canada, provinces and selected census metropolitan areas, annual.

Chile SS: Average Retirement Income: Rural data was reported at 185,767.021 CLP in 2017. This records an increase from the previous number of 172,639.371 CLP for 2015. Chile SS: Average Retirement Income: Rural data is updated yearly, averaging 156,555.974 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 185,767.021 CLP in 2017 and a record low of 127,967.362 CLP in 2009. Chile SS: Average Retirement Income: Rural data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

Chile SS: Average Retirement Income: Araucanía data was reported at 212,552.804 CLP in 2017. This records an increase from the previous number of 196,564.400 CLP for 2015. Chile SS: Average Retirement Income: Araucanía data is updated yearly, averaging 166,014.233 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 212,552.804 CLP in 2017 and a record low of 138,621.250 CLP in 2009. Chile SS: Average Retirement Income: Araucanía data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

This table contains 58320 series, with data for years 1999 - 2016 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (20 items: Canada; Atlantic; Newfoundland and Labrador; Prince Edward Island; ...); Assets and debts (27 items: Total assets; Private pension assets; Registered Retirement Savings Plans (RRSPs), Registered Retirement Income Funds (RRIFs), Locked-in Retirement Accounts (LIRAs) and other; Employer-sponsored Registered Pension Plans (EPPs); ...); Net worth quintiles (6 items: Total, all net worth quintiles; Lowest net worth quintile; Second net worth quintile; Middle net worth quintile; ...); Statistics (6 items: Total values; Percentage of total assets or total debts; Number holding asset or debt; Percentage holding asset or debt; ...); Confidence intervals (3 items: Estimate; Lower bound of a 95% confidence interval; Upper bound of a 95% confidence interval).

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Chile SS: Average Retirement Income: Maule data was reported at 203,821.934 CLP in 2017. This records an increase from the previous number of 182,040.556 CLP for 2015. Chile SS: Average Retirement Income: Maule data is updated yearly, averaging 167,801.711 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 203,821.934 CLP in 2017 and a record low of 130,991.098 CLP in 2009. Chile SS: Average Retirement Income: Maule data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

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.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2017-2021 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The 2017-2021 American Community Survey (ACS) data generally reflect the March 2020 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

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.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019 American Community Survey 1-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The 2019 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineations due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:An "**" entry in the margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.An "-" entry in the estimate column indicates that either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution, or the margin of error associated with a median was larger than the median itself.An "-" following a median estimate means the median falls in the lowest interval of an open-ended distribution.An "+" following a median estimate means the median falls in the upper interval of an open-ended distribution.An "***" entry in the margin of error column indicates that the median falls in the lowest interval or upper interval of an open-ended distribution. A statistical test is not appropriate.An "*****" entry in the margin of error column indicates that the estimate is controlled. A statistical test for sampling variability is not appropriate. An "N" entry in the estimate and margin of error columns indicates that data for this geographic area cannot be displayed because the number of sample cases is too small.An "(X)" means that the estimate is not applicable or not available.

Chile SS: Average Retirement Income: Atacama data was reported at 231,343.214 CLP in 2017. This records an increase from the previous number of 198,836.959 CLP for 2015. Chile SS: Average Retirement Income: Atacama data is updated yearly, averaging 184,075.942 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 231,343.214 CLP in 2017 and a record low of 155,760.561 CLP in 2009. Chile SS: Average Retirement Income: Atacama data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

Retirement Notice: This item is in mature support as of November 2025 and will be retired in December 2026. A replacement item has not been identified at this time. Esri recommends updating your maps and apps to phase out use of this item. This map shows the purchasing power per capita in Morocco in 2023, in a multiscale map (Country, Region, and Province). Nationally, the purchasing power per capita is 21,337 Moroccan dirham. Purchasing Power describes the disposable income (income without taxes and social security contributions, including received transfer payments) of a certain area's population. The figures are in Moroccan dirham (MAD) per capita.The pop-up is configured to show the following information at each geography level:Purchasing power per capitaPurchasing power per capita indexThe Purchasing Power Index compares the demand for a specific purchasing category in an area, with the national demand for that product or service. The index values at the national level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the national average; an index of 80 implies that demand is 20 percent lower than the national average.The source of this data is Michael Bauer Research. The vintage of the data is 2023. This item was last updated in October, 2023 and is updated every 12-18 months as new annual figures are offered.Additional Esri Resources:Esri DemographicsThis item is for visualization purposes only and cannot be exported or used in analysis.We would love to hear from you. If you have any feedback regarding this item or Esri Demographics, please let us know.Permitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

Chile SS: Average Retirement Income: Coquimbo data was reported at 203,242.367 CLP in 2017. This records a decrease from the previous number of 218,618.402 CLP for 2015. Chile SS: Average Retirement Income: Coquimbo data is updated yearly, averaging 157,240.597 CLP from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 218,618.402 CLP in 2015 and a record low of 150,049.922 CLP in 2009. Chile SS: Average Retirement Income: Coquimbo data remains active status in CEIC and is reported by Ministry of Social Development. The data is categorized under Global Database’s Chile – Table CL.H022: National Socio-Economic Characterization Survey: Social Security.

Content

The monthly net (after taxes) and gross (before taxes) earnings (i.e. income from salaries) in Romania between 1991 and 2020 (current) are available through this dataset. The data is provided / each month.

Details

For most of the population in Romania, main income is from salary earnings. This dataset is analyzing the evolution of gross and net (after taxes) income in Romania, between 1991 and 2020 (present). The data source is the Romanian Statistic Institute. The data is provided monthly.

Starting with 1990, post-communist economy depression, failing international markets for post-communist countries and internal political turmoil, correlated with rampant corruption in privatization of public sector resulted in an increasingly devaluation of the national currency Leu (ROL), or in other words, an aggressive inflation. In 2005, a revaluation of the national currency by Romanian National Bank equated 1 ROL to 10,000 new Romanian Leu or RON. This is the reason why from Jan 2005 we see a massive drop in the values (values divided with 10,000).

Taxation as well shows an evolution with some landmarks we need to detail here.

Until 2005, taxation was progressive. The state could hardly collect the taxes and unique solution they could imagine was to increase the taxes.

From 2005, there is a flat income taxation of 16%. It applied to the gross revenue, but besides the income taxes, other taxes, applied to the gross revenue (National Health Insurance, Retirement National Plan) as well as to the net revenue. Totally, there were 7-8 taxes applied to the gross income (partially directly, partially through net income, the actual total tax amounting to ~45-50% in average). Therefore, between 2005 and 2010 we can see a tax of ~23.5% to 27.5% (increasing) - this is the part of the total tax deducted from the gross earnings. From 2010 to 2018, tax percent is almost unchanged.

In 2018, a new fiscal reform was passed and from then, all taxes applied to gross income and the average tax decreased from a total of ~45% from the gross earnings to 40% from gross earnings).

Acknowledgements

The data is collected by the National Institute of Statistics from Romania.

Inspiration

Can you follow the devaluation (due to rampant inflation) in the '90s, followed by a valuation of domestic currency? Can you estimate the amount of income taxes (difference between gross and net earnings), and study its change from 1991 to 2020?