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


From   Michael Stewart <[email protected]>
To   statalist <[email protected]>
Subject   Re: st: Re:population datasets availability and related user written programs
Date   Wed, 29 May 2013 19:37:38 -0400

Hi Sergiy,
Thanks alot.
How do I get these datasets to stata format
Thanks
MIke

On Wed, May 29, 2013 at 7:07 PM, Sergiy Radyakin <[email protected]> wrote:
> 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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-- 
Thank you ,
Yours Sincerely,
Mike.
*
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