This data is available from stats.oecd.org (for OECD countries plus Russia)
You seem to be able to get "mean disposable income" by the following age groups:
0 to 17
18 to 25
26 to 40
41 to 50
51 to 65
66 to 75
Below is a screenshot that should help you get to the data.. unfortunately they do not have a way to save your query without logging in.
First, note that ZIP codes are not geographies (see this other answer).
Also, as Kotebiya notes in a comment, there aren't pseudo-geographies for ZIP+4 and if there were, they would probably represent too small a group of people to allow data sharing without concern for individual privacy.
There may be commercial services that approximate this level of ...
you can compute this with the cps or scf microdata
I suggest you search IPUMS, which has variables going back to 1850: https://usa.ipums.org/usa/index.shtml
I quickly searched and found that at least, personal income has been evaluated going back to 1940: https://usa.ipums.org/usa-action/variables/group?id=income
But a more detailed search might be even more fruitful.
Here it is for 2014 (ACS 2014 1-year) from CensusReporter(.org)* by poverty status: http://censusreporter.org/data/table/?table=B17005&geo_ids=01000US,040|01000US&primary_geo_id=01000US
More information on this topic can be found from CensusReporter at http://censusreporter.org/topics/employment/
*The data ultimately comes from Census and you can ...
You won't find 100% median income in the tables because HUD qualification is limited to low and very low income families and individuals.
The income data comes from the US Census and American Community Survey.
You can calculate it yourself. Just do 2X the 50% value. Note that HUD ...
If you are interested in micro-data, I think you could apply for EU-SILC data. They are survey data for EU countries, and it is the same source of data used by Eurostat, on their website.
I am not sure how hard it is to get these data and how long it takes to receive the data in case you are succesful. Bare in mind that there are restrictions though. ...
As with other US data which is collected, the CPS (Current Population Survey) is the best source for national statistics reported annually covering a long time period.
If you want to get below the state level, the American Community Survey is going to be your source, but there are wrinkles to comparison over time and timeliness of data, especially for ...
i think your choices are the https://www.census.gov/did/www/saipe/ for estimates or the census summary file #2 for real numbers--
2010 Census Summary File 2 (SF 2). Files containing cross-tabulations of information on age, sex,
household relationship, household type, household size, family type, family ...
Estimate-based data for mean and median household income at the county level is available for: 1990, 2000, 2005-2009, 2006-2010, 2007-2011, 2008-2012, 2009-2013, 2010-2014 ( and 2011-2015 in Dec. 2016). American Factfinder is a good resource for these estimates. NHGIS is a good resource for processed Census data that is GIS-friendly.
Model-based data for ...
Maybe you can combine the indicators EN.RUR.DNST ("Rural population density (rural population per sq. km of arable land") and SI.SPR.PCAP ("Survey mean consumption or income per capita, total population (2011 PPP $ per day))" provided by the World Bank's Indicators API . These datasets are resolved on a on a per-country basis not on a "per-pixel" basis.
Neither the Decennial Census or the American Community Survey report income information at the block level. They do report it at the block group and tract level.
The data is accessible in many ways. I like using the Census API. Here's data on aggregate income by blockgroups in a census tract in Jefferson County, Alabama
note the below data is for US-wide and not individual states.
It's the same data source, but you can get the FRED data but as a national sum from Quandl.
Monthly, from 1959. Refreshed automatically:
The direct link to FRED is provided on the Quandl page for validation: http://research.stlouisfed.org/fred2/data/...
Multiplying by a single number would be a fairly silly exercise, as households differ by size with income, so your estimate will likely be fairly far off the target. I would probably start by developing a cross-tabulation of income categories and household sizes for a reasonably small area (PUMA in which that tract is sitting from public use data, say), so ...
1990 Census of Population: Social and Economic Characteristics (page 410)
Table QT-P32 Income Distribution in 1999 of Households and Families: 2000, Census 2000 Summary File 3 (SF 3) - Sample Data
The most comprehensive dataset for Population and income is Census data however, the lowest Census geography is what is called an Output Area, which is an aggregation of postcodes with min. population and household size if 100 and 40 respectively. This minimum is set for statistical disclosure control (confidentiality preservation of individuals). So in your ...
I hope this helps - Quandl's Tax Policy Center database shows median income by age range, during a certain time frame and has data on median income outside cities vs metropolitan areas. You can search for "age income" within the database to see the all the different datasets. Or, actually, you can try going to this link directly: https://www.quandl.com/data/...
The iPhone/Android demographics can be manually parsed out of this article: What kind of person prefers an iPhone
Here is a snippet:
Characteristics of iPhone people versus Android people:
Highest level of education attained? iPhone people are more educated: they over-weight +27% for graduate/PhD education and under-weight -33% for high school ...
There are datasets that allow for inference on social interactions in various context. BoardEx for example will allow you to figure out who's been hanging out with whom in golf clubs for board members of major companies. This is as un-open data as it could be, however, some universities have licences so you might be able to get access.
Also twitter data ...
Are you asking about the United States? If so, you are probably not going to find it all for download in one place. That is because public employee information has to be requested from each individual government unit (state, county, or city).
Several sites have done this for entire states. Many of them do allow downloads. Some examples in no particular ...