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Correlates of youth internal migration and employment in Uganda
Background: Young people continue to gravitate from rural to urban Uganda. Whereas studies on drivers of this mobility abound, less is known about the predictors of internal migration and employment. This study investigated the correlates of youth migration and employment. Data and methods: Primary...
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| Published in: | African population studies 2019-05, Vol.33 (1) |
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| Main Authors: | , , , , |
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| container_issue | 1 |
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| container_title | African population studies |
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| creator | Nzabona, Abel Asiimwe, John Bosco Kakuba, Christian Tuyiragize, Richard Mushomi, John |
| description | Background: Young people continue to gravitate from rural to urban
Uganda. Whereas studies on drivers of this mobility abound, less is
known about the predictors of internal migration and employment. This
study investigated the correlates of youth migration and employment.
Data and methods: Primary data were collected from 1,537 respondents.
Binary and multinomial logistic regression models were fitted to
predict migration and employment status, respectively. Findings: Being
an older youth increased the odds of outmigration and chances of
employment. Hailing from a rural environment increased chances of
outmigration. The never married youths were less likely to be
self-employed but more likely to be paid employees than their married
counterparts. Females were less likely to be employed than males.
Conclusion: Age, home environment and sex were significant correlates
of migration and employment. We recommend improvement in rural
conditions and strengthening programmes that address the gender gap in
employment opportunities. |
| doi_str_mv | 10.11564/33-1-1347 |
| format | article |
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Uganda. Whereas studies on drivers of this mobility abound, less is
known about the predictors of internal migration and employment. This
study investigated the correlates of youth migration and employment.
Data and methods: Primary data were collected from 1,537 respondents.
Binary and multinomial logistic regression models were fitted to
predict migration and employment status, respectively. Findings: Being
an older youth increased the odds of outmigration and chances of
employment. Hailing from a rural environment increased chances of
outmigration. The never married youths were less likely to be
self-employed but more likely to be paid employees than their married
counterparts. Females were less likely to be employed than males.
Conclusion: Age, home environment and sex were significant correlates
of migration and employment. We recommend improvement in rural
conditions and strengthening programmes that address the gender gap in
employment opportunities.</description><identifier>ISSN: 0850-5780</identifier><identifier>EISSN: 2308-7854</identifier><identifier>DOI: 10.11564/33-1-1347</identifier><language>eng</language><publisher>Johannesburg: Union for African Population Studies</publisher><subject>Correlation analysis ; Employment ; Employment opportunities ; Employment status ; Females ; Gender ; Gender aspects ; Gender equity ; Home environment ; Internal ; Internal migration ; Job opportunities ; Males ; Marriage ; Migration ; Mobility ; Regression analysis ; Regression models ; Rural areas ; Rural communities ; Rural conditions ; Rural environments ; Rural urban migration ; Self employment ; Uganda ; Young adults ; Youth ; Youth employment</subject><ispartof>African population studies, 2019-05, Vol.33 (1)</ispartof><rights>Copyright [2019] - African Population Studies</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b1797-a28e0f3a36b702f05b263e9e1e1d59c83cb656832a82ba3365a509797d955e7b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2226421057?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,12847,21387,21394,21395,25753,27344,27924,27925,33223,33611,33774,33985,34530,37012,43733,43948,44115,44590</link.rule.ids></links><search><creatorcontrib>Nzabona, Abel</creatorcontrib><creatorcontrib>Asiimwe, John Bosco</creatorcontrib><creatorcontrib>Kakuba, Christian</creatorcontrib><creatorcontrib>Tuyiragize, Richard</creatorcontrib><creatorcontrib>Mushomi, John</creatorcontrib><title>Correlates of youth internal migration and employment in Uganda</title><title>African population studies</title><description>Background: Young people continue to gravitate from rural to urban
Uganda. Whereas studies on drivers of this mobility abound, less is
known about the predictors of internal migration and employment. This
study investigated the correlates of youth migration and employment.
Data and methods: Primary data were collected from 1,537 respondents.
Binary and multinomial logistic regression models were fitted to
predict migration and employment status, respectively. Findings: Being
an older youth increased the odds of outmigration and chances of
employment. Hailing from a rural environment increased chances of
outmigration. The never married youths were less likely to be
self-employed but more likely to be paid employees than their married
counterparts. Females were less likely to be employed than males.
Conclusion: Age, home environment and sex were significant correlates
of migration and employment. We recommend improvement in rural
conditions and strengthening programmes that address the gender gap in
employment opportunities.</description><subject>Correlation analysis</subject><subject>Employment</subject><subject>Employment opportunities</subject><subject>Employment status</subject><subject>Females</subject><subject>Gender</subject><subject>Gender aspects</subject><subject>Gender equity</subject><subject>Home environment</subject><subject>Internal</subject><subject>Internal migration</subject><subject>Job opportunities</subject><subject>Males</subject><subject>Marriage</subject><subject>Migration</subject><subject>Mobility</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>Rural conditions</subject><subject>Rural environments</subject><subject>Rural urban migration</subject><subject>Self employment</subject><subject>Uganda</subject><subject>Young adults</subject><subject>Youth</subject><subject>Youth employment</subject><issn>0850-5780</issn><issn>2308-7854</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>8BJ</sourceid><sourceid>ALSLI</sourceid><sourceid>BHHNA</sourceid><sourceid>DPSOV</sourceid><sourceid>HEHIP</sourceid><sourceid>M2L</sourceid><sourceid>M2R</sourceid><sourceid>M2S</sourceid><sourceid>PIMPY</sourceid><recordid>eNo1jk9Lw0AUxBdRsFYvfoKA561v92X_nUSKVqHgxZ7DbvtStyTZuEkP_fZGqjAwMPxmGMbuBSyEULp8ROSCCyzNBZtJBMuNVeUlm4FVwJWxcM1uhuEAIFE4PWNPy5QzNX6koUh1cUrH8auI3Ui5803Rxn32Y0xd4btdQW3fpFNL3TgRxWY_Zf6WXdW-Gejuz-ds8_ryuXzj64_V-_J5zYMwznAvLUGNHnUwIGtQQWokR4LETrmtxW3QSluU3srgEbXyCtzU3DmlyAScs4fzbp_T95GGsTqk4-_HoZJS6lIKUGaiFmcqxNTEjqo-x9bnU7XN0Vf_IfWThANA_AGzNFnH</recordid><startdate>20190531</startdate><enddate>20190531</enddate><creator>Nzabona, Abel</creator><creator>Asiimwe, John Bosco</creator><creator>Kakuba, Christian</creator><creator>Tuyiragize, Richard</creator><creator>Mushomi, John</creator><general>Union for African Population Studies</general><general>African Population Studies</general><scope>RBI</scope><scope>0-V</scope><scope>3V.</scope><scope>7U4</scope><scope>7XB</scope><scope>88J</scope><scope>8BJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHHNA</scope><scope>BHPHI</scope><scope>BSCPQ</scope><scope>CCPQU</scope><scope>DPSOV</scope><scope>DWI</scope><scope>DWQXO</scope><scope>FQK</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>HEHIP</scope><scope>JBE</scope><scope>KC-</scope><scope>M2L</scope><scope>M2R</scope><scope>M2S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>UXAQP</scope><scope>WZK</scope></search><sort><creationdate>20190531</creationdate><title>Correlates of youth internal migration and employment in Uganda</title><author>Nzabona, Abel ; 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Uganda. Whereas studies on drivers of this mobility abound, less is
known about the predictors of internal migration and employment. This
study investigated the correlates of youth migration and employment.
Data and methods: Primary data were collected from 1,537 respondents.
Binary and multinomial logistic regression models were fitted to
predict migration and employment status, respectively. Findings: Being
an older youth increased the odds of outmigration and chances of
employment. Hailing from a rural environment increased chances of
outmigration. The never married youths were less likely to be
self-employed but more likely to be paid employees than their married
counterparts. Females were less likely to be employed than males.
Conclusion: Age, home environment and sex were significant correlates
of migration and employment. We recommend improvement in rural
conditions and strengthening programmes that address the gender gap in
employment opportunities.</abstract><cop>Johannesburg</cop><pub>Union for African Population Studies</pub><doi>10.11564/33-1-1347</doi><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0850-5780 |
| ispartof | African population studies, 2019-05, Vol.33 (1) |
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| language | eng |
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| source | International Bibliography of the Social Sciences (IBSS); Publicly Available Content Database (Proquest) (PQ_SDU_P3); Politics Collection; Social Science Premium Collection (Proquest) (PQ_SDU_P3); Sociology Collection; Sociological Abstracts |
| subjects | Correlation analysis Employment Employment opportunities Employment status Females Gender Gender aspects Gender equity Home environment Internal Internal migration Job opportunities Males Marriage Migration Mobility Regression analysis Regression models Rural areas Rural communities Rural conditions Rural environments Rural urban migration Self employment Uganda Young adults Youth Youth employment |
| title | Correlates of youth internal migration and employment in Uganda |
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