6

The data you want are in these files. The primary source for this data was a US Census Bureau dataset of ~7500 incorporated cities whose populations surpassed 2500 people at some point in their existence. Additional cities were added from a variety of sources (...)


6

I believe the UN WPP Adjusted Population Density v4.10 may work for your purposes. To provide estimates of population density for the years 2000, 2005, 2010, 2015, and 2020, based on counts consistent with national censuses and population registers with respect to relative spatial distribution, but adjusted to match United Nations country totals. The ...


5

US Census has population projections through 2060, and is also the data behind both of the sources you already found. State population projections (except for Vermont) list from the Census. Not sure about data quality here; I only clicked on Virginia and District of Columbia, and Virginia's link had succumbed to linkrot. Updated reference: Virginia's ...


5

The Office for National Statistics website is going to be your friend here. The current Population Estimates Dataset includes (under 'Mid-2016 detailed time series') national and regional population estimates going back to 1838. For GDP there are several options, so it's probably best to look through the available data by searching the ONS website for '...


5

You can find data related to the Canadian lynx and snowshoe hare pelt-trading records of the Hudson Bay Company, starting in 1845. It seems to be a standard dataset, described for instance in Predator-Prey Models. The base repository is Lynx and Hare Data, and you can find for instance the csv file lynxhare.csv. The Lotka-Volterra Models for predactor/...


5

There is a Forbes article with an interactive graphic for county-to-country migration based on IRS tax records. Each county-to-county move must have at least 10 people, so as to protect privacy. The available years won't go back as far you ask. Article Visualization permalink The link given as a source is available from the Internet Archive. But the ...


4

The Census API is pretty good and should have what you're looking for. If you want only recent data, you can use the ACS to get 2014 data. If you want more historical data, the 1990, 2000, and 2010 are all exposed via the API.


4

If you are interested in using shapefile data and have access to QGIS or ArcGIS, this geodatabase contains geographic, demographic, and economic data for Places or "Cities" from the 2010 to 2014 ACS (The most current data as of December 1st, 2016). Be sure to find your variables of interest through the Metadata/Data Dictionary (although in your case, the ...


4

Please see this one: http://ghslsys.jrc.ec.europa.eu/data.php The Global Human Settlement Layer Landsat data from 1975, 1990, 2000 and 2014 were processed and analysed in order to produce three different GHS products: one on population (GHS-POP), one on built-up areas (GHS-BUILT), one city model dataset (GHS-SMOD). Data is open ...


3

I assume you've already found averages at Current Employment Statistics, FactFinder, or the American Time-Use Survey. I don't see any percentiles there. I don't know of any ready-made tables from BLS or Census that include percentiles for hours worked, so unfortunately you will probably need to create your own tabulation using microdata from CPS PUMS or ...


3

I didn't get it: are you looking for synthtic datasets only, or are you looking for real time series data for validating your own ODE models? In any case, try perhaps The Long Term Ecological Research Repository " The Long Term Ecological Research (LTER) program concentrates on studies of ecological processes that play out at time scales spanning ...


3

Similar to @Harsh's answer, here is a Wikidata SPARQL query that gives the top Link to Wikidata query tool Direct link to result SELECT DISTINCT ?city ?cityLabel ?population WHERE { ?city wdt:P31/wdt:P279* wd:Q515 . # find instances of subclasses of city # Now select the population value of the ?city # (wdt: properties use only statements ...


2

The official stats page of China has a table with gender per political region, in Chinese, with the data you are looking for (source is Wikipedia Sixth National Population Census of the People's Republic of China) http://www.stats.gov.cn/tjsj/ndsj/renkoupucha/2000pucha/html/t0102.htm Google translation Additionally, the UN data portal has gender data for ...


2

It seems that the puzzle pieces to answer your question are available at https://ergebnisse.zensus2011.de/?locale=en#StaticContent:00,BEV_11_1,m,table It gives you population, by age and gender, for all of Deutschland as well as by Land, Administrative region, and District. Data is as of 2011. The site allows an export as XLS and CSV too


2

Wikipedia has a list which might be help https://en.wikipedia.org/wiki/World%27s_largest_cities#List . You can also use wikidata(http://wikidata.org/) to query all items on wikipedia marked as cities and then their get their populations in machine readable form.


2

(After a while I have found some useful sources. I will answer my own question, so that future visitors to this site with the same question, have a starting point.) Data 1940-1990 (from ICPSR): Urbanization rate data for the earlier period can be obtained from the ICPSR 02896 data (see here). In particular, the datasets DS70 throughout DS78 and, in ...


2

Using Wikidata SPARQL Endpoint: SELECT ?a ?aLabel ?point WHERE { ?a wdt:P31 wd:Q17343829 ; wdt:P625 ?point SERVICE wikibase:label { bd:serviceParam wikibase:language "en" . } } Place this pseudo-comment — #defaultView:Map — anywhere in the query above, if you want to display results on the map. Not all unincorporated communities has coordinates in ...


2

First a note. The US Census API provides data on zip code tabulation areas, not zip codes: ZIP Code Tabulation Areas (ZCTAs) are statistical entities developed by the United States Census Bureau for tabulating summary statistics. [...] ZCTAs are generalized area representations of the United States Postal Service (USPS) ZIP code service areas, but are not ...


1

You might check out the information provided by the German Federal Statistical Office https://histat.gesis.org/histat/de/index where one can find a large variety of time series data for social, economic and historical research. Both registration and download of the data are free. Another starting point for the search could be http://www.historische-statistik....


1

Sadly as you may have spotted statistics is a devolved issue in the UK so there is no one central source. Also since the UK only holds censuses every 10 years for recent data you are stuck with estimates as there is no central citizen registry. For England and Wales you can get ward and super output level estimates for 2016 from ONS for the 5 year bands it ...


1

You could try to accept my comment as an answer (I don't think that's how it's done). But I would think some useful documentation would serve you more than a quick link edit. Here is a link to their API guide. Also, a list of their available survey/data sources and how to build the API links for them. I haven't gone through them extensively, but it looks ...


1

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 ...


1

I would source the population statistics and the Lat/Lon information separately and just perform a simple join to amalgamate the datasets. Census population info can be downloaded here, with further options on - https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/...


1

Please see my answer here. OpenStreetMap has a tag "population" as well. I've checked about half of the cities in the query here and there was always a population tag with some value. However, there is no source:population tag so we don't know the source and the up-to-dateness of this data.


1

If you are doing legitimate market research, you should expect to pay for this data based on the value it provides to your business planning. You are unlikely to find this data given away for free, or if it is, it probably is not reliable for market research because of data collection methodology problems. I know that this is not much of an answer, but if ...


1

Many small cities have merged over the years.Hence sometimes it is difficult to assign definitive values to city populations, e.g. when cites have become agglomerations - megacities. For a major fraction of the world population, this matters. The website https://citypopulation.de/ has this data. All urban agglomerations of the world with at least 1 million ...


1

It's not a large dataset, but What's Normal? -- Temperature, Gender, and Heart Rate The data were derived from an article in the Journal of the American Medical Association entitled "A Critical Appraisal of 98.6 Degrees F, the Upper Limit of the Normal Body Temperature, and Other Legacies of Carl Reinhold August Wunderlich" (Mackowiak, Wasserman, and ...


1

For a quick visualization, check out Wolfram Alpha http://www.wolframalpha.com/input/?i=growth+rate+of+tokyo+population http://www.wolframalpha.com/input/?i=growth+rate+of+jakarta+population http://www.wolframalpha.com/input/?i=growth+rate+of+ghuangzhou+population You cannot download the data for free. Spend 5$/month, or use the trial period. However, ...


1

I don't know what exactly you would qualify as 'biological' data, but I would classify predator/prey relationships as 'ecological' ... and therefore I'd look in one of two places: DataONE (Data Observation Network for Earth). Searches about 30 archives of environmental & ecological data. Dryad, a repository for evolutionary & environmental data. ...


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