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Re: st: Re:population datasets availability and related user written programs


From   Sergiy Radyakin <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: Re:population datasets availability and related user written programs
Date   Wed, 29 May 2013 19:07:28 -0400

Michael,
World Bank data might also be of use, for example:

-- population of USA in 1960:
http://api.worldbank.org/countries/usa/indicators/SP.POP.TOTL?date=1960

-- population of Ukraine in 1991-2010
http://api.worldbank.org/countries/ukr/indicators/SP.POP.TOTL?date=1991:2010

-- female population of Australia as percent of male population in 1961-2010
http://api.worldbank.org/countries/aus/indicators/SP.POP.TOTL.FE.ZS?date=1961:2010

etc.

Dictionary of indicators and country codes are available from:
data.worldbank.org

API description is here:
http://data.worldbank.org/node/11

Best, Sergiy Radyakin

On Wed, May 29, 2013 at 1:46 PM, Dimitriy V. Masterov
<[email protected]> wrote:
> You can get quandl from ssc to download such data in Stata format.
> Instruction are here:
> http://www.quandl.com/help/packages/stata
>
> For example, to get annual population of US from 1950-2010 from the
> Penn World Tables, you would
> -quandl, quandlcode(PENN/USA_POP) clear-
>
> There are other health datasets for the US listed here:
> http://www.quandl.com/health/usa-all-health-indicators
>
>
> Your second question is too vague to be answerable. If you elaborate
> on the goals, you may get a better answer. In the mean time,
> definitely take a look at the Time Series manual, Introduction to Time
> Series Using Stata by Sean Becketti, and German Rodriguez's demography
> class notes (http://data.princeton.edu/eco572/).
>
> DVM
>
> On Wed, May 29, 2013 at 8:48 AM, Michael Stewart
> <[email protected]> wrote:
>> Dear Statalist reader,
>>
>> I am trying to find options to download the population datasets (like
>> population is USA across years etc) from web.
>>
>> Also are there any good/must have  user written programs if you are
>> trying to estimate conditions across time( death statistics across
>> years ) in USA .
>>
>> --
>> Thank you ,
>> Yours Sincerely,
>> Mike.
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