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Epidemiology Surveys


Variable Label: INTERVIEWER CHECKPOINT-R is able to read



FN1

INTERVIEWER CHECKPOINT:

1 R IS ABLE TO READ

2 ALL OTHERS

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ValueLabelFrequencyValid
Percent
Total
Percent
1R IS ABLE TO READ345074.21%74.21%
2ALL OTHERS119925.79%25.79%
.Missing--00.00%

Disclaimer: Frequencies displayed above are not weighted.

  • Missing Data Codes: . (Missing)
  • Total Cases: 4649

You can also view this variable in SDA open in new window.




FN1 = 1

1 EXPR IS FALSE (see V07834)

2 EXPR IS TRUE

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This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.




    FN2INTR1

    (RB, PG 45)

    The next questions are about the different sources of income you may have. For each question, please tell me the letter you see in your booklet that represents the correct answer. First, which letter best represents your own personal earnings income in the past 12 months, before taxes? Count only wages and other stipends from your own employment, not pensions, investments, or other financial assistance or income. (Your best estimate is fine.)

    IF VOL 'NONE,' CODE B.

    Additional Documentation

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    This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

    • Valid Range: 0 - 0




    FN1 = 2

    1 EXPR IS FALSE (see V07841)

    2 EXPR IS TRUE

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    This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.




      FN2INTR2

      (RB, PG 45)

      The next questions are about the different sources of income you may have. First, what was your own personal earnings income in the past 12 months, before taxes? Count only wages and other stipends from your own employment, not pensions, investments, or other financial assistance or income. (Your best estimate is fine.)

      FIND ALL FIGURES REPORTED IN THIS SECTION IN THE TABLE AND RECORD THE APPROPRIATE LETTERS. DO NOT RECORD REPORTED CURRENCY VALUES.

      IF VOL 'NONE,' CODE B.

      Additional Documentation

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      This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

      • Valid Range: 0 - 0




      (((((((((((FN2INTR1 <> 'A') AND (FN2INTR1 <> 'a')) AND (FN2INTR1 <> 'B')) AND (FN2INTR1 <> 'b')) AND (FN2INTR2 <> 'A')) AND (FN2INTR2 <> 'a')) AND (FN2INTR2 <> 'B')) AND (FN2INTR2 <> 'b')) AND (FN2INTR1 <> DONTKNOW)) AND (FN2INTR1 <> REFUSAL)) AND (FN2INTR2 <> DONTKNOW)) AND (FN2INTR2 <> REFUSAL)

      1 EXPR IS FALSE (see V07846)

      2 EXPR IS TRUE

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      This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.




        FN3

        Is that figure before or after taxes?

        CODE "ALL OTHERS" IF R REPORTED BEFORE-TAX FIGURE IN *FN2

        1 R REPORTED AFTER-TAX FIGURE IN FN2 (see V07846)

        2 ALL OTHERS (see V07846)

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        This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

        • Valid Range: 1 - 2


        Variable Label: INTERVIEWER CHECKPOINT-(SC3,SC3a)



        FN4

        INTERVIEWER CHECKPOINT: (SC3 OR SC3a)

        1 MARRIED OR COHABITATING

        2 ALL OTHERS

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        ValueLabelFrequencyValid
        Percent
        Total
        Percent
        1MARRIED OR COHABITATING306865.99%65.99%
        2ALL OTHERS158134.01%34.01%
        .Missing--00.00%

        Disclaimer: Frequencies displayed above are not weighted.

        • Missing Data Codes: . (Missing)
        • Total Cases: 4649

        You can also view this variable in SDA open in new window.




        FN4 = 1

        1 EXPR IS FALSE (see V07851)

        2 EXPR IS TRUE

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        This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.




          FN5

          (RB, PG 45: Still using the categories on page 45)

          [(Which letter best represents/What was)] your [(spouse's/partner's)] earnings income in the past 12 months, before taxes? Count only wages or other stipends from his or her employment, not pensions, investments, or other income. (Your best estimate is fine.)

          LETTER FROM TABLE (SPOUSE'S OR PARTNER'S EARNINGS INCOME)

          Additional Documentation

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          This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

          • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
          • Total Cases: 4649




          (((((FN5 <> 'B') AND (FN5 <> 'b')) AND (FN5 <> 'A')) AND (FN5 <> 'a')) AND (FN5 <> DONTKNOW)) AND (FN5 <> REFUSAL)

          1 EXPR IS FALSE (see V07851)

          2 EXPR IS TRUE

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          This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.




            FN6

            Is that figure before or after taxes?

            CODE "ALL OTHERS" IF R REPORTED BEFORE-TAX FIGURE IN FN5

            1 R REPORTED AFTER-TAX FIGURE IN FN5

            2 ALL OTHERS

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            This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

            • Valid Range: 1 - 2




            FN7

            (RB, PG 45: Still using the categories on page 45)

            [(Which letter best represents/What was)] the total personal earnings income of all other family members who lived with you in the past 12 months, before taxes? Count only wages and other stipends from their employment, not pensions, investments, or other income. (Your best estimate is fine.)

            IF VOL 'NO OTHER HOUSEHOLD FAMILY MEMBERS,' CODE B.
            LETTER FROM TABLE (OTHER FAMILY MEMBERS' EARNINGS INCOME)

            Additional Documentation

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            This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

            • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
            • Total Cases: 4649




            (((((FN7 <> 'B') AND (FN7 <> 'b')) AND (FN7 <> 'A')) AND (FN7 <> 'a')) AND (FN7 <> DONTKNOW)) AND (FN7 <> REFUSAL)

            1 EXPR IS FALSE (see V07855)

            2 EXPR IS TRUE

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            This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.




              FN8

              Is that figure before or after taxes?

              CODE "ALL OTHERS" IF R REPORTED BEFORE-TAX FIGURE IN *FN7

              1 R REPORTED AFTER-TAX FIGURE IN FN7

              2 ALL OTHERS

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              This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

              • Valid Range: 1 - 2




              FN9

              (RB, PG 45: Still using the categories on page 45)

              [(Which letter best represents/What was)] your total family household income from Social Security Retirement benefits? (Your best estimate is fine.)

              LETTER FROM TABLE (HOUSEHOLD SOCIAL SECURITY RETIREMENT BENEFITS)

              Additional Documentation

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              This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

              • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
              • Total Cases: 4649




              FN10

              (RB, PG 45: Still using the categories on page 45)

              [(Which letter best represents/What was)] your total family household income from government assistance programs? Include income such as unemployment benefits, Aid to Families with Dependent Children, General Assistance, SSI or SSDI. (Your best estimate is fine.)

              LETTER FROM TABLE (HOUSEHOLD GOVERNMENT ASSISTANCE INCOME)

              Additional Documentation

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              This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

              • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
              • Total Cases: 4649




              FN11

              (RB, PG 45: Still using the categories on page 45)

              [(Which letter best represents/What was)] your total family household income from any other sources in the past 12 months -- for example, pensions, investments, child support, or alimony? (Your best estimate is fine.)

              LETTER FROM TABLE (OTHER FAMILY INCOME)

              Additional Documentation

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              This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

              • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
              • Total Cases: 4649


              Variable Label: After total liquidation, would have $ left over after paying debts



              FN12

              Suppose you [(and your spouse or partner)] sell everything you own (cars, houses, land, etc.) and you use the money to pay all your debts (credit cards, mortgage, etc.), would you still have any money left over after paying your debts? (Your best estimate is fine.)

              1 WOULD HAVE MONEY LEFT OVER

              2 WOULD STILL OWE MONEY

              3 DEBTS WOULD JUST ABOUT EQUAL ASSESTS (see V07864)

              4 DON'T OWE/OWN ANYTHING (see V07864)

              Additional Documentation

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              ValueLabelFrequencyValid
              Percent
              Total
              Percent
              1WOULD HAVE MONEY LEFT OVER236553.24%50.87%
              2WOULD STILL OWE MONEY60313.57%12.97%
              3DEBTS WOULD JUST ABOUT EQUAL ASSESTS41309.30%08.88%
              4DONT OWE/OWN ANYTHING106123.89%22.82%
              -9REFUSED91-01.96%
              -8DONT KNOW110-02.37%
              .Missing6-00.13%

              Disclaimer: Frequencies displayed above are not weighted.

              • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
              • Total Cases: 4649

              You can also view this variable in SDA open in new window.




              FN13

              (RB, PG 45)

              How much? (Your best estimate is fine.)

              IF VOL 'BREAK EVEN,' CODE B.

              LETTER FROM TABLE (MONEY LEFT OVER OR OWED)

              Additional Documentation

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              This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.

              • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
              • Total Cases: 4649


              For the individual studies, this variable exists in different sections from CPES.

              Variable Label: # people support your household



              FN13a

              How many people in your household including yourself, give money to support your household? We don't need their names, just the number.

              ENTER NUMBER

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              • Valid N: 4576
              • Refused: 19
              • Don't Know: 46
              • Missing (Other): 0
              • Missing (System): 8
              MeanStd DevMedianMinMax
              01.7200.8702.0000.00007.000
              • Valid Range: 0 - 7
              • Total Cases: 4649

              You can also view this variable in SDA open in new window.




              BLDEMOGRAP.DM1_6 = 2

              1 EXPR IS FALSE (see V07871)

              2 EXPR IS TRUE

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              This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.


                Variable Label: Send money to relatives in country of origin



                FN13b

                Do you send money to relatives in your country of origin?

                1 YES

                5 NO (see V07869)

                Additional Documentation

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                ValueLabelFrequencyValid
                Percent
                Total
                Percent
                1YES142143.78%30.57%
                5NO182556.22%39.26%
                -9REFUSED14-00.30%
                -8DONT KNOW3-00.06%
                .Missing1386-29.81%

                Disclaimer: Frequencies displayed above are not weighted.

                • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
                • Total Cases: 4649

                You can also view this variable in SDA open in new window.


                Variable Label: How much money send to country of origin per month/year



                FN13c

                How much money do you send home (per month) (per year)?

                ENTER DOLLARS

                Additional Documentation

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                • Valid N: 1290
                • Refused: 41
                • Don't Know: 90
                • Missing (Other): 0
                • Missing (System): 3228
                MeanStd DevMedianMinMax
                962.221909.19400.0000.00030000.000
                • Valid Range: 0 - 30000
                • Total Cases: 4649

                You can also view this variable in SDA open in new window.


                Variable Label: Unit of time send money to country of origin



                FN13c

                ENTER UNIT OF TIME:

                1 MONTHS

                2 YEARS

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                ValueLabelFrequencyValid
                Percent
                Total
                Percent
                1MONTHS48937.97%10.52%
                2YEARS79962.03%17.19%
                -8DONT KNOW2-00.04%
                .Missing3359-72.25%

                Disclaimer: Frequencies displayed above are not weighted.

                • Missing Data Codes: -8 (Don't know), . (Missing)
                • Total Cases: 4649

                You can also view this variable in SDA open in new window.


                Variable Label: Total liquid in country of origin, still have $ left over after debts



                FN13d

                Suppose you (and your spouse or partner) sell everything you own (cars, houses, land, etc.) in your country of origin and you use the money to pay all your debts (credit cards, mortgage, etc.) Would you still have any money left over after paying your debts? (Your best estimate is fine.)

                1 WOULD HAVE MONEY LEFT OVER

                2 WOULD STILL OWE MONEY

                3 DEBTS WOULD JUST ABOUT EQUAL ASSESTS (see V07871)

                4 DON'T OWE/OWN ANYTHING (see V07871)

                Additional Documentation

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                ValueLabelFrequencyValid
                Percent
                Total
                Percent
                1WOULD HAVE MONEY LEFT OVER69622.33%14.97%
                2WOULD STILL OWE MONEY14204.56%03.05%
                3DEBTS WOULD JUST ABOUT EQUAL ASSESTS14004.49%03.01%
                4DONT OWE/OWN ANYTHING213968.62%46.01%
                -9REFUSED56-01.20%
                -8DONT KNOW90-01.94%
                .Missing1386-29.81%

                Disclaimer: Frequencies displayed above are not weighted.

                • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
                • Total Cases: 4649

                You can also view this variable in SDA open in new window.


                Variable Label: How much money left over after paying debts



                FN13e
                (RB, PG 45)

                How much? (Your best estimate is fine.)

                IF VOL 'BREAK EVEN,' CODE B.

                LETTER FROM TABLE (MONEY LEFT OVER OR OWED)

                Additional Documentation

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                ValueLabelFrequencyValid
                Percent
                Total
                Percent
                1LESS THAN $0 (LOSS)500.79%00.11%
                2$0 (NONE)3505.50%00.75%
                3$1 - $9993605.66%00.77%
                4$1,000 - $1,9994306.76%00.92%
                5$2,000 - $2,9992804.40%00.60%
                6$3,000 - $3,9991902.99%00.41%
                7$4,000 - $4,9991702.67%00.37%
                8$5,000 - $5,9992704.25%00.58%
                9$6,000 - $6,999500.79%00.11%
                10$7,000 - $7,9991302.04%00.28%
                11$8,000 - $8,9991201.89%00.26%
                12$9,000 - $9,999500.79%00.11%
                13$10,000 - $10,9995408.49%01.16%
                14$11,000 - $11,999500.79%00.11%
                15$12,000 - $12,999500.79%00.11%
                16$13,000 - $13,999400.63%00.09%
                17$14,000 - $14,999400.63%00.09%
                18$15,000 - $15,9991802.83%00.39%
                19$16,000 - $16,999600.94%00.13%
                20$17,000 - $17,999100.16%00.02%
                21$18,000 - $18,999200.31%00.04%
                22$19,000 - $19,999500.79%00.11%
                23$20,000 - $24,9994206.60%00.90%
                24$25,000 - $29,9991702.67%00.37%
                25$30,000 - $34,9992203.46%00.47%
                26$35,000 - $39,999701.10%00.15%
                27$40,000 - $44,9992403.77%00.52%
                28$45,000 - $49,9991602.52%00.34%
                29$50,000 - $74,9994106.45%00.88%
                30$75,000 - $99,9991702.67%00.37%
                31$100,000 - $149,9994006.29%00.86%
                32$150,000 - $199,9996109.59%01.31%
                -9REFUSED33-00.71%
                -8DONT KNOW168-03.61%
                .Missing3812-82.00%

                Disclaimer: Frequencies displayed above are not weighted.

                • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
                • Total Cases: 4649

                You can also view this variable in SDA open in new window.


                Variable Label: You have more/just enough/not enough money to meet needs



                FN14

                In general, would you say (you have/ your family living here has) more money than you need, just enough for your needs, or not enough to meet your needs?

                1 MORE THAN NEED

                2 JUST ENOUGH

                3 NOT ENOUGH

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                ValueLabelFrequencyValid
                Percent
                Total
                Percent
                1MORE THAN NEED45509.93%09.79%
                2JUST ENOUGH261757.11%56.29%
                3NOT ENOUGH151032.96%32.48%
                -9REFUSED38-00.82%
                -8DONT KNOW22-00.47%
                .Missing7-00.15%

                Disclaimer: Frequencies displayed above are not weighted.

                • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
                • Total Cases: 4649

                You can also view this variable in SDA open in new window.




                FN14 <> 1

                1 EXPR IS FALSE (see V07879)

                2 EXPR IS TRUE

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                This variable has been removed from the dataset. This variable may be available in the restricted file. For information on obtaining restricted data, please contact netmail@icpsr.umich.edu. If you'd like more information about the variable, you can view the summary statistics and/or frequencies.


                  Variable Label: Amt of difficulty paying monthly bills



                  FN14a

                  How difficult is it for you to pay your monthly bills - very difficult, somewhat, not very, or not at all difficult?

                  1 VERY DIFFICULT

                  2 SOMEWHAT DIFFICULT

                  3 NOT VERY DIFFICULT

                  4 NOT AT ALL DIFFICULT

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                  ValueLabelFrequencyValid
                  Percent
                  Total
                  Percent
                  1VERY DIFFICULT48011.60%10.32%
                  2SOMEWHAT DIFFICULT137233.15%29.51%
                  3NOT VERY DIFFICULT120729.16%25.96%
                  4NOT AT ALL DIFFICULT108026.09%23.23%
                  -9REFUSED26-00.56%
                  -8DONT KNOW22-00.47%
                  .Missing462-09.94%

                  Disclaimer: Frequencies displayed above are not weighted.

                  • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
                  • Total Cases: 4649

                  You can also view this variable in SDA open in new window.


                  Variable Label: In past yr-how often not enough money to buy food



                  FN18

                  How often in the past 12 months did you not have enough money to buy food - often, sometimes, or only rarely?

                  1 OFTEN

                  2 SOMETIMES

                  3 RARELY

                  4 (IF VOL) NEVER

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                  ValueLabelFrequencyValid
                  Percent
                  Total
                  Percent
                  1OFTEN16303.91%03.51%
                  2SOMETIMES43510.43%09.36%
                  3RARELY85920.60%18.48%
                  4(IF VOL) NEVER271365.06%58.36%
                  -9REFUSED16-00.34%
                  -8DONT KNOW1-00.02%
                  .Missing462-09.94%

                  Disclaimer: Frequencies displayed above are not weighted.

                  • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
                  • Total Cases: 4649

                  You can also view this variable in SDA open in new window.


                  Variable Label: In past yr-couldn't afford to eat balanced meals



                  FN19

                  How often in the past 12 months could you not afford to eat balanced meals - often, sometimes, or only rarely?

                  1 OFTEN

                  2 SOMETIMES

                  3 RARELY

                  4 (IF VOL) NEVER

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                  ValueLabelFrequencyValid
                  Percent
                  Total
                  Percent
                  1OFTEN10302.47%02.22%
                  2SOMETIMES35108.42%07.55%
                  3RARELY83720.09%18.00%
                  4(IF VOL) NEVER287669.02%61.86%
                  -9REFUSED17-00.37%
                  -8DONT KNOW3-00.06%
                  .Missing462-09.94%

                  Disclaimer: Frequencies displayed above are not weighted.

                  • Missing Data Codes: -9 (Refused), -8 (Don't know), . (Missing)
                  • Total Cases: 4649

                  You can also view this variable in SDA open in new window.


                  Variable Label: In past yr-cut/skip meal cause not enough money to buy food



                  FN20

                  How many months in the past 12 months did you either cut the size of your meals or skip meals because there wasn't enough money to buy food?

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                  • Valid N: 4141
                  • Refused: 27
                  • Don't Know: 19
                  • Missing (Other): 0
                  • Missing (System): 462
                  MeanStd DevMedianMinMax
                  00.5501.6600.0000.00012.000
                  • Valid Range: 0 - 12
                  • Total Cases: 4649

                  You can also view this variable in SDA open in new window.