Retired people in 2012 1-year ACS PUMS

Hi, I'm trying to identify the retired people (if possible) in the ACS2012- 1 year database. Does anyone know what variable/variables should I use identify these people? I've searched in the PUMS data dictionary, but i had no luck.
Any help on this is highly appreciated!

Thanks,
Adriana
Parents
  • Thank you all for your answers! I’ve tried to compare the retired number resulting from the combination of variables ESR, RETP and AGE with the one published by Social Security Administration (www.socialsecurity.gov/.../OAbenies.html) - 36,719,288 retired workers in 2012. An overall incidence (among all indiv. 0+y.o.) would be around 12%.

    -> If I filter by ESR=6 and AGEP>=62 and RETP>0 I obtain about 16,000,000 retired people, so about 5.3% within all indiv. 0+ y.o. I think this difference is too big.
    -> It seems that only 8% of indiv (24,068,309 ) are receiving retirement incomes greater than 0 (RETP>0). So I have to exclude this variable from my filter in order to get closer to 12%= the overall incidence of retired.
    -> If I take into consideration the variables: ESR=6 and AGEP>=62 I obtain 41,166,421 retired people, about 13.5% of all indiv. Here are also included, as Galatia noted, those housewives, seasonal workers and other groups besides retred. How can I exclude them?
    Another question is: should I use different ages when targeting retired? For axemple women and men have the same standard retirement age? What about those who retire earlier than the standard age?

    Thanks,
    Adriana
Reply
  • Thank you all for your answers! I’ve tried to compare the retired number resulting from the combination of variables ESR, RETP and AGE with the one published by Social Security Administration (www.socialsecurity.gov/.../OAbenies.html) - 36,719,288 retired workers in 2012. An overall incidence (among all indiv. 0+y.o.) would be around 12%.

    -> If I filter by ESR=6 and AGEP>=62 and RETP>0 I obtain about 16,000,000 retired people, so about 5.3% within all indiv. 0+ y.o. I think this difference is too big.
    -> It seems that only 8% of indiv (24,068,309 ) are receiving retirement incomes greater than 0 (RETP>0). So I have to exclude this variable from my filter in order to get closer to 12%= the overall incidence of retired.
    -> If I take into consideration the variables: ESR=6 and AGEP>=62 I obtain 41,166,421 retired people, about 13.5% of all indiv. Here are also included, as Galatia noted, those housewives, seasonal workers and other groups besides retred. How can I exclude them?
    Another question is: should I use different ages when targeting retired? For axemple women and men have the same standard retirement age? What about those who retire earlier than the standard age?

    Thanks,
    Adriana
Children
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