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AWAYMALE
Number of own male children living elsewhere

Codes and Frequencies



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      class Awaymale:public Editor {

public:
    Awaymale(VarPointer varInfo) : Editor(varInfo) {}
    void edit() {

        long a = getRecoded();
        switch (dataSet) {
        case dataset_id::ke1989a:
        {
            if (KE1989A_0419() == 99 && (KE1989A_0402() == 1 || KE1989A_0403() < 12))
                a = 99;
            if (KE1989A_0419() == 99 && KE1989A_0403() >= 12 && KE1989A_0402() == 2)
                a = 0;
        }
        break;
        case dataset_id::ke1999a:
        {
            if (KE1999A_0423() == 99 && (KE1999A_0402() == 1 || KE1999A_0403() < 12))
                a = 99;
            if (KE1999A_0423() == 0 && KE1999A_0434() == 0)
                a = 99;
            if (KE1999A_0423() == 99 && KE1999A_0403() >= 12 && KE1999A_0402() == 2)
                a = 0;
        }
        break;
        case dataset_id::id1995a:
        {
            if (ID1995A_0465() == 9 && ID1995A_0462() == 2)
                a = 0;
        }
        break;
        case dataset_id::kg2009a:
        {
            if (KG2009A_0451() == 99 && KG2009A_0444() == 0)
                a = 0;
        }
        break;
        case dataset_id::zm2000a:
        {
            if (ZM2000A_0447() == 99 && ZM2000A_0403() == 2 && ZM2000A_0404() >= 12)
                a = 0;
        }
        break;
        case dataset_id::zm2010a:
        {
            if (ZM2010A_0458() == 99 && ZM2010A_0403() == 2 && ZM2010A_0404() >= 12 && (ZM2010A_0401() == 1 || ZM2010A_0401() == 3))
                a = 0;
        }
        break;
        case dataset_id::bw2001a:
        {
            if (BW2001A_0430() == 99 && BW2001A_0426() == 0)
                a = 0;
        }
        break;
        case dataset_id::tz2012a:
        {
            if (TZ2012A_0441() == 99 && TZ2012A_0449() == 0)
                a = 0;
        }
        break;
        case dataset_id::pg1980a:
        {
			if (PG1980A_0438() == 0 && PG1980A_0439() == 0)
				a = 0;
        }
        break;
        case dataset_id::zw2012a:
        {
			if (ZW2012A_0439() == 2)
				a = 0;
        }
        break;
		case dataset_id::la2005a:
        {
            if (LA2005A_0423() == 2 && LA2005A_0426() == 99)
                a = 0;
		}
        break;
		case dataset_id::np2011a:
        {
			if (NP2011A_0429() == 2 && NP2011A_0432() == 99)
				a = 0;
		}
        break;
        }


        setData(a);
    }
};

    

Description

AWAYMALE indicates the number of surviving biological male children not living in the household with their mother (the respondent).

Comparability — Index

GENERAL
Botswana
Ethiopia
Fiji
Indonesia
Kenya
Kyrgyz Republic
Laos
Lesotho
Liberia
Myanmar
Nepal
Nigeria
Papua New Guinea
Sierra Leone
South Sudan
Sudan
Tanzania
Uganda
Zambia
Zimbabwe

Comparability — General

Some samples limit the universe to women of childbearing age or to ever-married women. Top-codes vary across samples.

See AWAYFEM for the number of female children and AWAYCHILD for the total number of children living elsewhere.

Comparability — Botswana [top]

The 2001 and 2011 samples are top-coded at 7+ male children.

Comparability — Ethiopia [top]

Only long-form respondent women (20%) were asked the question in 2007.

Comparability — Fiji [top]

The 1986 sample is top-coded at 10 or more male children, the 1996 sample is top-coded at 7+, and the 2007 sample is top-coded at 6+.

Comparability — Indonesia [top]

The universe differs significantly across samples, with respect to age and marital status of respondents.

The 2010 sample is top-coded at 13 or more male children.

Comparability — Kenya [top]

The universe is females age 12 and older for all samples except 1979. The 1979 enumeration form indicates that the universe was females age 12+, but it appears to actually be females age 15+.

The 1999 and 2009 samples specify that the response pertains to children who "usually" live apart from their mother, while the earlier samples did not include this language. A large number of cases lack responses in the 1979 and 1989 samples.

Top codes vary across samples.

Comparability — Kyrgyz Republic [top]

The 2009 sample is top-coded at 8+ male children.

Comparability — Laos [top]

The data are top-coded at 5+ children.

Comparability — Lesotho [top]

The data are top-coded at 7+ children in 1996 and at 4+ children in 2006.

Comparability — Liberia [top]

The 2008 sample is top-coded at 7 or more male children.

Comparability — Myanmar [top]

The variable is top-coded at 9+ male children.

Comparability — Nepal [top]

The 2001 sample is top-coded at 5 or more male children, while the 2011 is top-coded at 6 or more. The universe is restricted to ever-married women.

Comparability — Nigeria [top]

The universe differs between samples, with ever-married status an additional criterion in 2006.

Comparability — Papua New Guinea [top]

The data are top-coded at 5+ children in 1980 and 7+ children in 2000.

Comparability — Sierra Leone [top]

The 2004 sample is top-coded at 8 or more male children.

Comparability — South Sudan [top]

The 2008 sample is top-coded at 7 or more children.

Comparability — Sudan [top]

The 2008 sample is top-coded at 10 or more male children.

Comparability — Tanzania [top]

The 2002 and 2012 samples are top-coded at 12+ and 9+ male children, respectively.

Comparability — Uganda [top]

The 2002 sample is top-coded at 10 or more male children.

Comparability — Zambia [top]

The 1990 sample is top-coded at 8+ male children, the 2000 sample is top-coded at 9+, and the 2010 sample is top-coded at 10+.

Comparability — Zimbabwe [top]

The data are top-coded at 6+ children in 2012.

Universe

  • Botswana 2001: Females age 12+ except institutionalized non-residents
  • Botswana 2011: Females age 12+ except institutionalized non-residents
  • Ethiopia 1984: Female residents age 10+
  • Ethiopia 1994: Female residents age 10+
  • Ethiopia 2007: Long form female respondents age 10+
  • Fiji 1986: Females age 15+
  • Fiji 1996: Females age 15+
  • Fiji 2007: Females age 15+
  • Indonesia 1990: Ever-married females age 10+
  • Indonesia 1995: Ever-married females age 10 to 54
  • Indonesia 2010: Females age 10+ in regular enumeration areas
  • Kenya 1979: Females age 15+
  • Kenya 1989: Females age 12+
  • Kenya 1999: Females age 12+
  • Kenya 2009: Females age 12+
  • Kyrgyz Republic 2009: Females age 15+
  • Laos 2005: Females age 15 to 49
  • Lesotho 1996: Females age 12+
  • Lesotho 2006: Females age 12 to 49
  • Liberia 2008: Females age 12 to 54
  • Myanmar 2014: Ever-married women age 15+ in conventional households
  • Nepal 2001: Ever-married females age 15 to 49
  • Nepal 2011: Ever-married females age 15 to 49
  • Nigeria 2006: Ever-pregnant females age 15+ or ever-married
  • Nigeria 2007: Females age 15+ who have ever been pregnant
  • Papua New Guinea 1980: Urban females age 15+
  • Papua New Guinea 2000: Citizen females age 15+
  • Sierra Leone 2004: Females age 10+
  • South Africa 2007: Females age 12 to 50
  • South Sudan 2008: Females age 12 to 54
  • Sudan 2008: Ever-married females age 12 to 54
  • Tanzania 1988: Females age 12+
  • Tanzania 2002: Females age 12+
  • Tanzania 2012: Females age 12+
  • Uganda 2002: Females age 12 to 54
  • Zambia 1990: Females age 12+
  • Zambia 2000: Females age 12+
  • Zambia 2010: Present resident and visitor females age 12+
  • Zimbabwe 2012: Females age 15 to 49

Availability

  • Botswana: 2001, 2011
  • Ethiopia: 1984, 1994, 2007
  • Fiji: 1986, 1996, 2007
  • Indonesia: 1990, 1995, 2010
  • Kenya: 1979, 1989, 1999, 2009
  • Kyrgyz Republic: 2009
  • Laos: 2005
  • Lesotho: 1996, 2006
  • Liberia: 2008
  • Myanmar: 2014
  • Nepal: 2001, 2011
  • Nigeria: 2006, 2007
  • Papua New Guinea: 1980, 2000
  • Sierra Leone: 2004
  • South Africa: 2007
  • South Sudan: 2008
  • Sudan: 2008
  • Tanzania: 1988, 2002, 2012
  • Uganda: 2002
  • Zambia: 1990, 2000, 2010
  • Zimbabwe: 2012