Community based monitoring system PROJECT PRESENTATION PROJECT TITLE

Community based monitoring system PROJECT PRESENTATION PROJECT TITLE : CBMS - MONITORING MDGS AND ERADICATION OF POVERTY AND HUNGER – THE CASE OF WARD 24 IN MATERO LUSAKA WARD, ZAMBIA STUDENT NAME: LORAINE MANYANA SIN : 1611339296 PROGRAMME : BACHELORS OF ARTS IN HUMAN RESOURCE MANAGEMENT

Project details Study type § Initiators § Year § § § GEOGRAPHICAL Location District Constituency Ward : CBMS Household Survey : ICU and ZRDC : 2017 CHARACTERISTICS : Lusaka : Matero : Muchinga ward 24

Location map

INTRODUCTION Lusaka population stands at 1, 742, 979 (852, 588 males & (890, 391 females) Three quarters of the population live in urban areas. 7 Constituencies : Matero, Mandevu, Munali, Lusaka central, Kanyama, Kabwata, Chawama the district has 33 wards according to the 2010 census. CBMS A aimed at collecting data in muchinga Ward local project working with local govt. & community Information useful for implementing local development programs.

MDG GOAL 1. ERADICATE EXTREME POVERTY AND HUNGER Target 1. A: Halve, between 1990 and 2015, the proportion of people living in extreme poverty. Indicator 1 -Proportion of population in extreme poverty (%) Target 1. B: Achieve full and productive employment & decent work for all, including women and youths Indicator 1 - Employment to population ratio Indicator 2 - Proportion of employed people living below the poverty line (%) Target 1. C: Halve, between 1990 and 2015, the proportion of people who suffer from hunger. Indicator 1 - Prevalence of underweight children U-5 (%)

Objectives To provide the basis for local Monitoring of MDGs and Eradication of Poverty and Hunger in order to compare poverty trends in the local study area in 2014 To diagnose and monitor the extent of poverty and hunger at local level and its distributional pattern in comparison to national trends To suggest appropriate plans, strategies and programs to address the problem of poverty

Demographic information The population for Lusaka Province increased from 1, 391, 329 in 2000 to 2, 198, 996 in 2010. This means that the annual average population growth rate for the province was 5. 8 percent in the 2000 – 2010 inter-censal period. The growth rate increased from 4. 0 percent in the 1990 – 2000 inter-censal period. Lusaka province had the highest provincial population growth rate in the country. Kafue and Lusaka districts had the highest annual average growth rate in the province at 6. 2 and 6. 1 percent, respectively. Chongwe district grew at a rate of 3. 4 percent while Luangwa had the lowest growth rate of 3. 3. percent. More than three quarters (79 percent) of the provincial population was in Lusaka district. Luangwa district had the lowest share of the population at 1. 2 percent.

Introduction The population for Lusaka Province increased from 1, 391, 329 in 2000 to 2, 198, 996 in 2010. This means that the annual average population growth rate for the province was 5. 8 percent in the 2000 – 2010 inter-censal period. The growth rate increased from 4. 0 percent in the 1990 – 2000 inter-censal period. Lusaka province had the highest provincial population growth rate in the country. Kafue and Lusaka districts had the highest annual average growth rate in the province at 6. 2 and 6. 1 percent, respectively. Chongwe district grew at a rate of 3. 4 percent while Luangwa had the lowest growth rate of 3. 3. percent. More than three quarters (79 percent) of the provincial population was in Lusaka district. Luangwa district had the lowest share of the population at 1. 2 percent. Source: cso 2010

According to CSO (2012, p. 4) the population composition by province, region and sex indicate that 49. 3 % are males and 50. 7 are females. This CBMs findings shows that 49% are males and 51 % are females The mean household size is dependent on the type of HH (FHH or MHH) and economic status of the HH Head (income and employment status) sex of respondents 51% 49% Female Male

HOUSEHOLD CHARACTERISTICS Following the findings the results show that the majorities of the households were male headed households while 30% of the households were female headed this Was represented by 15. This report shows that a large proportion of the households in muchinga ward were male headed households.

NUMBER OF MEALS HH MEMBERS HAVE/DAY Number of Meals per Day 60% 23% 17% 1 Meal 2 Meal 3 Meals v According to the research the majority of the household have 3 meals per day this was represented by 60%, 23% have 2 meals per day while 17% have 1 meal per day. v The 60% of HHs with 3 meals/day may be attributed to the fact that the sampled HHs have their main source of income from employment.

HH SOURCE OF INCOME Main source of Income 10% Employment Agriculture Business 80% Source of income is defined as Just where the money is coming from. For an individual income could be from multiple sources such as employment, investment and welfare for example. For business it's could be from a particular markets, products, customers, investments or government grants. In this regard employment, Agriculture and business were categorized as a sources of income. Following the findings the major household income was employment which was represented by 80%, it was followed by agriculture and business which were represented by 10 % respectively.

sufficient, none of the respondents depended on neighbors, well wishers or relief food. R el ie Food source on N f. F oo d s he r is l. W el W ei gh b ou rs 100 80 60 40 20 0 N Percent % HOUSEHOLD MEMBERS’SOURCE OF A higher number of HH are food self sufficient. All the 50 Housed member source of food FOOD respondents representing 50% are fully self food 120

HOUSEHOLD FOOD BUDGET According to the research findings most of the households their food budget was above 1000. this was presented by 70% HOUSEHOLD FOOD BUDGET 10% 10% 70% Zk 100 -Zk 300 -Zk 500 -1000 Above Zk 1000

Government in 2012 revised its minimum wage from K 260. 00 (approx. US$30) to K 700. 00 (approx. US$ 70 = US$ 3/day) ii. For a worker a minimum tax free threshold is K 3, 000 (320 US$ = 15 US$ /day). (i) Though at the macro-economic level, it may show that there is an improvement in the country’s socio-economic indicators, this study shows that 70 % of the HHs meet the minimum basic food basket required for a decent standard of living. According to the JCTR’s (2013) basic needs basket study for 2013, revealed that a minimum of K 3, 003. 95 is required to meet the basic necessities. (iii)

HH MEMBER SUFFERED FROM MALNUTRITION, KWASHIORKOR, MARASMUS OR DEHYDRATION v Following the findings none of the households had recorded any case of mulnutrion. v This shows that the malnutrition levels in the ward are low, this is mainly because the household income are large enough for a balanced diet.

KWASHIOKOR Following the findings no kwashiorkor cases were reported or recorded in the ward. kwashiokor 100% 0% 0% one two three four none

MARASMUS Following the findings no marasmus cases were reported or recorded in the ward. Marasmus 100% 0% 0% one two three four none

Members of the HH who are dehydrated Dehydration 100% 0% 0% one two three four none Following the findings no dehydration cases were reported or recorded in the ward.

No of members in HH<5 years underweight Members under age of 5 who under weight 100% 0% 0% one two three four none 100 % of the respondents indicated that no member under 5 years or less was under weight. Child nutrition is not on the increase and this may lead to meeting the MDGs on this target. This picture may be due to improvement in the rates of immunization and children programs by government such as breast feeding, nutrition supplements in the district. Most of the residents in this ward may be literate and enlightened in matters of child health. The MDG progress report on Zambia indicates that North Western Province in 1992 to 2006 recorded a decline in chronic malnutrition to 12 %+ The ward scores on this MDG indicator as achievable

CHALLENGES AND HURDLES The survey of HHs in the local area was enriched by the field data, collected primarily from the respondents using household questionnaires. The time allocated to do research was a constraint. Since the researcher was a full time employee with a lot of responsibilities such that it was difficult to supervise the enumerators closely Many of HH respondents were not very accessible and available at the time required for interviews, questionnaires were left to be filled limited by inadequate funds for transport and logistics to support enumerators even bicycles were hard to come by. Ethical issues and privacy were a hurdle to overcome particularly to questions relating to sex, Aids/HIV, widowed, religious rights to decide to be interviewed or not, barrenness (say why no children to childless couple) The project and time were a challenge to overcome and getting to grips with research methodologies, deadlines and other assignments plus work

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