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1

Brouwer, Inge D., Kareem Daari, and James Asedem. District level household baseline survey. [UNICEF], 1999.

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2

Ghana. District level household baseline survey. Republic of Ghana, 1999.

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3

Brouwer, Inge D., James Asedem, and Joseph Homiah Mensah. District level household baseline survey, Tolon-Kumbungu District. UNICEF, 1999.

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4

Brouwer, Inge D., Joseph Homiah Mensah, and Gladys Gamor. District level household baseline survey, Zabzugu-Tatale District, December 1999. UNICEF, 2000.

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5

Brouwer, Inge D., Kareem Daari, and Joseph Homiah Mensah. District level household baseline survey, Savelugu-Nanton District, November 1999. UNICEF, 2000.

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6

International Institute for Population Sciences. and India. Ministry of Health and Family Welfare., eds. Reproductive and child health, district level household survey (DLHS-2), 2002-04, India. International Institute for Population Sciences, 2006.

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7

Population Research Centre (Gokhale Institute of Politics and Economics., ed. Household amenities in the context of development in Maharashtra: District level analysis of 1991 census. Population Research Centre, Gokhale Institute of Politics and Economics, 1998.

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8

Ninno, Carlo Del. Using household and district level data for geographic targeting: A methodological exercise with Bangladesh data. Food Management & Research Support Project, Ministry of Food, Government of the People's Republic of Bangladesh, 2001.

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9

Muwanga-Zake, Elijah S. K. Community level statistics: Using resistance councils to monitor and evaluate UNICEF projects in Mbarara District. s.n., 1989.

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10

Lao-Swedish Upland Agriculture and Forestry Research Program. Field report on indigenous soil taxonomy, household level diagnostic survey, and market research in Phonsay District, May-June 2003: Socio-economic research component. Lao Swedish Upland Agriculture and Forestry Research Programme, 2003.

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11

Jitta, J. S. Kibaale District Development Programme follow-up household survey. Child Health and Development Centre, Makerere University in collaboration with Irish Aid/AMREF, 1999.

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12

Kamalkhani, Sylvie K. A household subsistence level and budget survey in Manzini. University of Swaziland, Social Science Research Unit, 1985.

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13

Kenya. Ministry of Planning and National Development. and UNICEF, eds. Household welfare monitoring and evaluation survey of Embu District. s.n., 1992.

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14

Kenya. Ministry of Planning and National Development. and UNICEF, eds. A Household welfare monitoring and evaluation survey of Mombasa District. s.n., 1992.

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15

Kenya. Ministry of Planning and National Development., ed. A Household welfare monitoring and evaluation survey of Kwale District. s.n., 1992.

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16

Kenya. Ministry of Planning and National Development., ed. A Household welfare monitoring and evaluation survey of Baringo District. s.n., 1991.

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17

Sindh (Pakistan). Planning and Development Department. Sindh district-based multiple indicators cluster survey, 2003-04. Govt. of Sindh, Planning and Development Dept., 2005.

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18

Statistics, Punjab (Pakistan) Bureau of. District-based multiple indicators cluster survey, 2003-04: Punjab. Government of Punjab, Planning and Development Department in collaboration with the Federal Bureau of Statistics and United Nations Children's Fund (UNICEF), 2004.

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19

National Center for Education Statistics. and Educational Resources Information Center (U.S.), eds. Nested structures: District-level data in the Schools and Staffing Survey. U.S. Dept. of Education, Office of Educational Research and Improvement, National Center for Education Statistics, 1996.

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20

Chipulu, Protasio Mwansa. Baseline survey of WPRD in Mansa District, Luapula Province. Republic of Zambia, The Section, 1988.

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21

Khan, Mohammad Asif. Baseline socio economic survey of rural households in district Qilla Saifullah Balochistan. Rural Support Programmes Network, 2009.

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22

Exnevia, Gomo, and Munyati Shungu, eds. Household survey of HIV-prevalence and behaviour in Chimanimani District, Zimbabwe, 2005: A baseline study. HSRC Press, 2006.

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23

Exnevia, Gomo, and Munyati Shungu, eds. Household survey of HIV-prevalence and behaviour in Chimanimani District, Zimbabwe, 2005: A baseline study. HSRC Press, 2006.

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24

Association, Indian Banks', and National Institute of Bank Management (India), eds. All India savings and deposit trends and patterns: Highlights [of] a national level survey, 1986. National Institute of Bank Management, 1987.

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25

wa-al-Ijtimāʻīyah, Majlis al-Abḥāth al-Iqtiṣādīyah. Socio-economic survey of South Tokar District, Eastern Region: (with reference to refugeees and self-reliance). The Council, 1989.

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26

Patna University. Population Research Centre., India. Ministry of Health and Family Welfare., and International Institute for Population Sciences., eds. Rapid household survey--RCH Project, Bihar, [name of district]: [Phase I and II, 1998-1999]. Population Research Centre, Dept. of Statistics, Patna University, 1998.

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27

Patna University. Population Research Centre., India. Ministry of Health and Family Welfare., and International Institute for Population Sciences., eds. Rapid household survey--RCH Project, Bihar, [name of district]: [Phase I and II, 1998-1999]. Population Research Centre, Dept. of Statistics, Patna University, 1998.

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28

Kakooza, Teresa. Short report on experience gained from base line survey conducted in Bugangaizi and Buyanja, Kibaale District, March-April, 1992. s.n., 1992.

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29

Papua New Guinea. National Statistical Office., ed. Preliminary population estimates: Urban household survey 1985/87 : Kieta-Arawa-Panguna-Loloho, Wewak, Goroka, National Capital District, Lae, Daru & Ambunti. The Office, 1988.

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30

Weekes, Samuel B. Report of the survey on family planning and fertility in the rural areas of Bo District: 6th-14th May 1990. Planned Parenthood Association, Sierra Leone, 1990.

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31

Thakhisi, D. Exposing geographic inequity: Lesotho's multiple indicator cluster survey : a district-level report : measuring progress towards the World Summit goals for children. Bureau of Statistics, 1998.

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32

Organisation, National Sample Survey, ed. Differences in level of consumption among socio-economic groups: 5th quinquennial survey of consumer expenditure : NSS 50th round, July 1993-June 1994. National Sample Survey Organisation, Dept. of Statistics, Govt. of India, 1997.

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33

Healthy Mothers Healthy Babies Project (Indonesia), ed. Baseline household survey on mother's health care and care seeking knowledge, attitudes, and practices: Kendari District of Southeast Sulawesi, the District of Central Halmahera, and North Maluku of Maluku : final report. Healthy Mothers Healthy Babies Project, Indonesia-Australia Development Co-operation Program, 1998.

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34

BAPPEDA Tingkat II Flores Timur. Environmental sanitation planning directory: Reports on constructed and traditional toilets, environmental sanitation, household drainage, roadside drainage, and priority sites : kampung level : survey data collected May, June, July, and August 1998. Bappeda Tingkat II Kabupaten Flotim and FLOWS, Flores Water Supply and Sanitation Reconstruction and Development Project, 1998.

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35

Manggarai (Indonesia : Kabupaten). Badan Perencanaan Pembangunan Daerah. Environmental sanitation planning directory: Reports on constructed and traditional toilets, environmental sanitation, household drainage, roadside drainage, and priority locations : kampung level : survey data collected May, June, July, and August 1998. Bappeda Tingkat II, Kabupaten Manggarai and FLOWS, Flores Water Supply and Sanitation Reconstruction and Development Project, 1998.

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36

ṭeʻenā, Eritrea Ministri. Emergency health needs of the populations of northern Red Sea, southern Red Sea, and Gash Barka Zobas (districts) in Eritrea: A synthesis of findings from rapid assessments, district health profiles, and household survey. Ministry of Health Eritrea, 2006.

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37

Ende, BAPPEDA Tingkat II, ed. Environmental sanitation planning directory: Reports on constructed and traditional toilets, environmental sanitation, household drainage, roadside drainage, and priority locations, kampung level, survey data collected May, June, July, and August 1998, reports printed December 1998. Bappeda Tingkat II Kabupaten Ende and FLOWS, Flores Water Supply and Sanitation Reconstruction and Development Project, 1998.

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38

Reproductive and child health, district level household survey--2004. Society for Applied Research in Humanities, 2005.

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39

Siddiqui, Tasneem, C. Rashaad Shahbab, Ananta Neelim, et al. Impact of Migration on Transformation to Sustainability: Poverty and Development in Bangladesh. Edited by Tasneem Siddiqui. Refugee and Migratory Movemnets Research Unit (RMMRU), 2022. http://dx.doi.org/10.55711/cdnl9128.

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This book contains the findings from the third wave of a migration focused panel survey in Bangladesh. It examines the interrelationships between labour migration, poverty, and development based on 6,100 interviews including international labour migrants, internal migrants and non-migrant households spanning 20 districts of Bangladesh. The first wave of survey (2014) found that among these three groups poverty level is much lower for international labour migrant households. The second wave (2017), demonstrated that between 2014 and 2017 poverty rates among all three household types reduced fur
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40

Household welfare monitoring and evaluation survey of Kitui District. s.n., 1992.

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41

A Household welfare monitoring and evaluation survey of South Nyanza District. s.n., 1991.

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42

A Household welfare monitoring and evaluation survey of Kisumu District. The Ministry, 1990.

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43

The 2015/16 Ethiopian household consumption-expenditure survey: Results for country level statistical report. Central Statistical Agency, 2018.

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44

NSS data (unit level) on 42nd round, sch. 27: Survey on persons aged 60 years & above. Government of India, Ministry of Statistics & P.I., Computer Centre, 2011.

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45

Household survey 2012: MMG LXML Sepon Expanded Development Area, Vilabouly District, Savannakhet Province, Lao P.D.R. Environment-Sustainability-Livelihood, 2012.

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46

Mimmi, Luisa M. From Informal to Authorized Electricity Service in Urban Slums : Findings from a Household Level Survey in Mumbai. Elsevier, 2014. https://doi.org/10.1596/20719.

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47

Environmental sanitation planning directory: Reports on constructed and traditional toilets, environmental sanitation, household drainage, roadside drainage, and priority locations, kampung level, survey data collected May, June, July, and August 1998, reports printed December 1998. Bappeda Tingkat II Kabupaten Ende and FLOWS, Flores Water Supply and Sanitation Reconstruction and Development Project, 1998.

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48

Khosa, Godwin, ed. Systemic School Improvement Interventions in South Africa. African Minds, 2014. http://dx.doi.org/10.47622/9781920677374.

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Looking at two smaller-scale systemic school improvement projects implemented in selected district circuits in the North West and Eastern Cape by partnerships between government, JET Education Services, and private sector organisations, this book captures and reflects on the experiences of the practitioners involved. The Systemic School Improvement Model developed by JET to address an identified range of interconnected challenges at district, school, classroom and household level, is made up of seven components. In reflecting on what worked and what did not in the implementation of these diffe
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49

Beckfield, Jason. Unequal Europe. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190494254.001.0001.

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The Euro-crisis of 2009–2012 and the UK’s 2016 vote to leave the EU vividly demonstrated that EU policies matter for the distribution of resources within and between European nation-states. Throughout these events, distributive conflicts between the European Union’s winners and losers intensified, and continue today. This book places these events into a broader historical, sociological, and economic perspective by analyzing how European integration has reshaped the distribution of income across the households of Europe. The motivating question is: who wins and who loses from European integrati
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50

Folawewo, Abiodun O., and Olusegun A. Orija. Informal–formal workers' transition in Nigeria: A livelihood analysis. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/903-7.

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This study evaluates the effects of the informal sector on Nigerian workers’ livelihoods and analyses workers’ transitions within the informal sector and between informal and formal employment. A binary logit model is applied to General Household Survey panel data for the periods 2010/11, 2012/13, and 2015/16. We find that informal employment has the greatest impact on workers’ livelihoods in terms of earnings. Results also indicate the existence of a high level of dynamic transition of workers within different types of informal employment. Our results further indicate that both self-employed
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