DDI_KEN_2016_MSSP_v01_M UNHCR 2021-05-24 NADA Version 01 (May 2021). This version is identical to UNHCR DDI ID: DDI-UNHCR-KEN-2016-Pemba-v1.0, except for the following edits that were made: - Minor spelling, grammatical, and formatting corrections - Specified the archive where the study is originally stored Measuring Statelessness: A Study of the Pemba - 2016 MS-SP 2016 KEN_2016_MSSP_v01_M UNHCR Norway Refugee Council Kenya National Bureau of Statistics NADA UNHCR Population and Housing Census [hh/popcen] v2.1: Edited, anonymous dataset for licensed distribution. Statelessness Kenya Identity documents Nationality Pemba of Kenya Housing, Land and Property Education Livelihood & Social cohesion Other The survey of the Pemba was an attempt to reach all households in Kenya with links to Pemba in Tanzania. It was conducted in the two counties of Kilifi and Kwale on the coast, north and south of Mombasa, respectively. According to information from village elders familiar with the Pemba community in Kenya, most of the Pemba population resides in these two counties. While there are some Pemba residents in Lamu, the security situation prevented data collection there. Further, a few Pemba are believed to live in the city of Mombasa and elsewhere in the country. But due to lack of further information, no data were collected in Mombasa or elsewhere. The objectives of the full survey, conducted in August 2016, were: 1. To establish the number and characteristics of the Pemba living in Kenya, including their arrival period in Kenya, nationality and their problems; 2. To make recommendations for the issuance of the documentation that is required for those who apply for citizenshiop by registration Kenya Kwale and Kilifi counties, Kenya. Households, individuals The total number of households with links to Pemba in Tanzania, in Kilifi and Kwale counties. Census/enumeration data [cen] Individuals: Demographics and citizenship status. Household: Demographics and ownership of personal documents UNHCR A household mapping exercise was conducted in Kilifi and Kwale to identify Pemba households and to make it easier to locate them on the ground. The mapping was done from 4 to 12 August 2016 by a team from UNHCR Kenya office and KNBS. The mapping in each village commenced with a visit to the chief's office, who put the team in touch with the village chair. The team explained the purpose of its visit to the village chair and began the mapping exercise. The importance of involving the chiefs and village chairpersons is that they are well connected, recognised and trusted by residents in their communities. The same procedure is followed by KNBS when they are mapping for sample surveys and censuses. The team established physical boundaries of the area to be mapped, located the boundaries on the map and then identified and listed the Pemba households within the enumeration boundary. A Pemba household, in this context, is one identified by the informants as having at least one person with origins or links to Pemba. The links may include a person's spouse, parents or grandparents, who migrated to Kenya from Pemba or where a person has migrated from Pemba to Kenya. The mapping team was followed by the village chair to the Pemba households, where the UNHCR and Haki Centre staff listed number of persons in each, while the KNBS staff marked the location of the household on the map. The entrances of identified Pemba households were marked in chalk with the letters HCR and a number starting at 001 to make it easier to find the houses during the enumeration. Since it seems to be generally well known where the Pemba live it was not considered stigmatising to mark their doors. During the feedback forums with the Pemba after the survey, there was no mention of stigmatization due to marking the door with chalk. The maps were from the 2009 national housing and population census, purchased from KNBS. The team made lists with information about the location, number and size of each household. The mapping team visited 17 villages in Kilifi and Kwale (see Table 1 in Section 2.7). All villages visited were identified before the mapping exercise by key informants as locations being home to the Pemba of Kenya. The key informants were Pemba elders in different sub-counties previously identified for providing background information on the Pemba arrival and history in Kenya. In each sub-country, the chief, the assistant chief or the village chair also accompanied the team. In Kwale, 358 households were identified with 2,220 persons, and in Kilifi, 86 households with 558 persons. Face-to-face [f2f] The questionnaire was developed before the pilot survey and revised during and after the pilot survey, based on the experience gained. The pilot survey was used to test the questions and to check for inconsistences and misinterpretations due to unclear concepts and definitions. The testing process also revealed some important themes that had been left out. The structure of the questionnaire was altered, including the order of the questions and the introductory pages, to facilitate administration of the questionnaire. Finally, the questionnaire was translated into Swahili. Both the English and Swahili versions were used in the survey, even though the English version was preferred by almost all interviewers. The two versions of the questionnaire are attached in Annex 4 and 5. Enumerators used the English questionnaire to frame the questions in the local and less academic version of Swahili. Most of the enumerators had been recruited during the pilot study and the majority were retained. A few new enumerators were recruited for the main survey. Haki Centre, a non-governmental human rights organization based in Mombasa, played an important role in the recruitment. Some of the requirements were that the enumerators should be fluent in English and Swahili, that they had completed secondary school education, and that they had an interest in the overall objectives of the survey. Preference was given to interviewers living in Pemba villages. The recruitment also considered gender and diversity. Before the pilot study, the enumerators were given a basic training on statelessness and why it occurs in Kenya, including the background of the Pemba of Kenya. A two-day training session for enumerators was held in Mombasa before the main survey (see the program in Annex 9). The session began with an introduction of the instructors and the participants and a discussion of administrative and practical arrangements with respect to the interviewers and supervisors, such as working time, allowances and transport arrangements. During the training, a presentation of the scope and purpose of the survey was given. The roles of the interviewers and supervisors were discussed and a list of tasks for interviewers and supervisors were distributed. The data were imported into a Statistics Analysis Software (SAS) file and validated. Several errors were identified during the validation process, both on how the data had been recorded by the interviewers in the field and how the data had been entered by the clerks. There were particularly many errors in the entry of the variable “Relation to the household head” (Q.2). There were also many errors in the entry of the age of the household head, which was mostly due to errors in recording the right codes. A substantial amount of time was spent cleaning the data after the data had been entered, which included consulting many paper questionnaires. The quality of the survey data was significantly improved after the data entry revision. The data were analysed using both SAS software and Excel spreadsheets. The rate of non-response was low. Of the 452 households visited, visits to only 23 households can be categorised as non-response. A lot of effort was made to revisit non-responding households, using interviewers living nearby. Out of the 23 non-responsive households, 12 were not at home or there was no adult at home. There were 2 interrupted interviews, 7 refusals and 2 with no links to Pemba. In one household the respondent was not mentally stable enough to be interviewed, according to the enumerator. United Nations Refugee Agency Microdata Library United Nations Refugee Agency Microdata Library https://microdata.unhcr.org/index.php/catalog/236 Original archive ID: UNHCR-KEN-2016-Pemba-v2.1 Cost: None Curation Team UNHCR (2016). Measuring Statelessness in Kenya: A 2016 Study of the Pemba. UNHCR Microdata Library https://microdata.unhcr.org UNHCR_KEN_2016_Pemba_Anonymized This file contains all questions of the survey. 0 62 Household Number Household Number Household Number Household Number Household Number 1 428 Household member number Household member number Household member number Household member number Household member number 1 15 Household member's age Household member's age Household member's age Household member's age Household member's age 1 22 1 Below 15 2 15-18 3 18-21 4 21-24 5 24-27 6 27-30 7 30-33 8 33-36 9 36-39 10 39-42 11 42-45 12 45-48 13 48-51 14 51-54 15 54-57 16 57-60 17 60-63 18 63-66 19 66-69 20 69-72 21 72-75 22 75+ County County County County County 1 2 1 Kilifi 2 Kwale Link to Pemba Link to Pemba Link to Pemba Link to Pemba Link to Pemba 1 3 1 Yes 2 No 3 . Duration of interview (minutes) Duration of interview (minutes) Duration of interview (minutes) Duration of interview (minutes) Duration of interview (minutes) 3 75 Household Size Household Size Household Size Household Size Household Size 1 12 Language of interview Language of interview Language of interview Language of interview Language of interview 1 3 1 1 2 2 3 3 Number of persons in the inverview Number of persons in the inverview Number of persons in the inverview Number of persons in the inverview Number of persons in the inverview 1 9 Status of the interview Status of the interview Status of the interview Status of the interview Status of the interview 1 7 1 Completed 2 Partially completed 3 Interrupted 4 Nobody at home 5 No adult at home 6 Refusal 7 Other Relation to household head Relation to household head Relation to household head Relation to household head Relation to household head 1 12 1 Head 2 Spouse 3 Son/daughter 4 Grandchild 5 Brother/sister 6 Father/mother 7 Nephew/niece 8 In-law 9 Grandparent 10 Other relative 11 Non relative 12 Don’t know Sex Sex Sex Sex Sex 1 2 1 Male 2 Female Marital status Marital status Marital status Marital status Marital status 1 7 1 Never married 2 Married, monogamous 3 Married, polygamous 4 Widowed 5 Divorced 6 Separated 7 Don’t know Kenya marriage certificate Kenya marriage certificate Kenya marriage certificate Kenya marriage certificate Kenya marriage certificate 1 6 1 Yes 2 Married, no certificate 3 Not married 4 Not applicable 5 Don’t know 6 . Tribe Tribe Tribe Tribe Tribe 1 29 1 Basuba 2 Embu 3 Pokot 4 Tura 5 Kikuyu 6 Batsotso 7 Mijikenda 8 Chonyi 9 Digo 10 Duruma 11 Giriama 12 Kambe 13 Pokomo 14 Swahili 15 Amu 16 Bajuni 17 Vumba 18 Watangana 19 Kenyan Arabs 20 Kenyan 21 Tanzania 22 Galjeel 23 Makonde 24 Pemba 25 Shona 26 No tribe 27 Other 28 Not applicable 29 Don’t know Citizenship Citizenship Citizenship Citizenship Citizenship 1 9 1 Swahili 2 Kenya 3 Tunisia 4 Tanzania 5 Pemba 6 No citizenship (stateless) 7 Other 8 Not applicable 9 Don’t know Citizenship of previous spouse Citizenship of previous spouse Citizenship of previous spouse Citizenship of previous spouse Citizenship of previous spouse 1 11 1 Digo 2 Giriama 3 Vumba 4 Kenya 5 Tanzania 6 New Zealand 7 Pemba 8 No citizenship (stateless) 9 Other 10 Not applicable 11 Don’t know Citizenship of father Citizenship of father Citizenship of father Citizenship of father Citizenship of father 1 17 1 Kwale 2 Pokot North 3 Chonyi 4 Digo 5 Duruma 6 Swahili 7 Bajuni 8 Vumba 9 Kenya 10 Tunisia 11 Tanzania 12 India 13 Pemba 14 No citizenship (stateless) 15 Other 16 Not applicable 17 Don’t know Citizenship of mother Citizenship of mother Citizenship of mother Citizenship of mother Citizenship of mother 1 13 1 Kwale 2 Pokot North 3 Chonyi 4 Digo 5 Duruma 6 Bajuni 7 Kenya 8 Tunisia 9 Tanzania 10 Pemba 11 No citizenship (stateless) 12 Not applicable 13 Don’t know Country of birth Country of birth Country of birth Country of birth Country of birth 1 6 1 Ghana 2 Kenya 3 Tanzania 4 Pemba 5 Other 6 Don't know Year of migration to Kenya Year of migration to Kenya Year of migration to Kenya Year of migration to Kenya Year of migration to Kenya 1 68 1 Non applicable 2 1942 3 1945 4 1950 5 1952 6 1953 7 1954 8 1955 9 1956 10 1957 11 1958 12 1960 13 1961 14 1962 15 1963 16 1964 17 1965 18 1966 19 1967 20 1968 21 1969 22 1970 23 1971 24 1972 25 1973 26 1974 27 1975 28 1976 29 1977 30 1978 31 1979 32 1980 33 1981 34 1982 35 1983 36 1984 37 1985 38 1986 39 1987 40 1988 41 1989 42 1990 43 1991 44 1992 45 1993 46 1994 47 1995 48 1996 49 1997 50 1998 51 1999 52 2000 53 2001 54 2002 55 2003 56 2004 57 2005 58 2006 59 2007 60 2008 61 2009 62 2010 63 2011 64 2012 65 2013 66 2014 67 2015 68 2016 Year of migration to Kenya for father if father born abroad Year of migration to Kenya for father if father born abroad Year of migration to Kenya for father if father born abroad Year of migration to Kenya for father if father born abroad Year of migration to Kenya for father if father born abroad 1 68 1 Non applicable 2 Don't know 3 1895 4 1920 5 1926 6 1930 7 1940 8 1942 9 1945 10 1950 11 1951 12 1952 13 1953 14 1955 15 1956 16 1957 17 1958 18 1960 19 1961 20 1962 21 1963 22 1964 23 1965 24 1966 25 1967 26 1968 27 1969 28 1970 29 1971 30 1972 31 1974 32 1975 33 1976 34 1977 35 1978 36 1979 37 1980 38 1981 39 1982 40 1984 41 1985 42 1986 43 1987 44 1988 45 1989 46 1990 47 1991 48 1992 49 1993 50 1994 51 1995 52 1996 53 1997 54 1998 55 1999 56 2000 57 2001 58 2003 59 2004 60 2005 61 2006 62 2007 63 2011 64 2012 65 2013 66 2014 67 2015 68 2016 Year of migration to Kenya for mother if mother born abroad Year of migration to Kenya for mother if mother born abroad Year of migration to Kenya for mother if mother born abroad Year of migration to Kenya for mother if mother born abroad Year of migration to Kenya for mother if mother born abroad 1 61 1 Non applicable 2 Don't know 3 1926 4 1940 5 1945 6 1950 7 1951 8 1952 9 1953 10 1955 11 1956 12 1958 13 1960 14 1961 15 1962 16 1963 17 1964 18 1965 19 1966 20 1967 21 1968 22 1970 23 1971 24 1972 25 1974 26 1975 27 1976 28 1977 29 1978 30 1979 31 1980 32 1981 33 1982 34 1984 35 1985 36 1986 37 1988 38 1989 39 1990 40 1991 41 1992 42 1993 43 1994 44 1995 45 1996 46 1997 47 1998 48 1999 49 2000 50 2001 51 2003 52 2004 53 2005 54 2006 55 2007 56 2008 57 2011 58 2012 59 2014 60 2015 61 2016 Religion Religion Religion Religion Religion 1 9 1 Catholic 2 Protestant 3 Other Christian 4 Muslim 5 Hindu 6 Traditionalist 7 Other religion 8 No religion 9 Don’t know Main language Main language Main language Main language Main language 1 8 1 Bukusu 2 Digo 3 Pokomo 4 Swahili 5 Vumba 6 Tanzania 7 Pemba 8 Other Additional language Additional language Additional language Additional language Additional language 1 15 1 Not applicable 2 Kikuyu 3 Bukusu 4 Mijikenda 5 Digo 6 Giriama 7 Kambe 8 Swahili 9 Amu 10 Vumba 11 Burji 12 Germany (German) 13 United Kingdom (English) 14 Pemba 15 Other Highest level of education attained Highest level of education attained Highest level of education attained Highest level of education attained Highest level of education attained 1 9 1 Below primary 2 Still in primary school 3 Primary education 4 Secondary education 5 Tertiary education 6 No formal education 7 Other 8 Not applicable 9 Don’t know Kenya Certificate of Primary Education Kenya Certificate of Primary Education Kenya Certificate of Primary Education Kenya Certificate of Primary Education Kenya Certificate of Primary Education 1 4 1 Yes 2 No 3 Not applicable 4 Don’t know Main economic activity Main economic activity Main economic activity Main economic activity Main economic activity 1 10 1 Employed in formal sector 2 Farming 3 Fishing 4 Farming and fishing 5 Other informal sector 6 Other self-employed 7 Not employed 8 Other 9 Not applicable 10 Don’t know Birth notification Birth notification Birth notification Birth notification Birth notification 1 4 1 Yes 2 No 3 Not applicable 4 Don't know Birth certificate Birth certificate Birth certificate Birth certificate Birth certificate 1 4 1 Yes 2 No 3 Not applicable 4 Don't know Health or clinic card Health or clinic card Health or clinic card Health or clinic card Health or clinic card 1 3 1 Yes 2 No 3 Don't know Kenyan ID Kenyan ID Kenyan ID Kenyan ID Kenyan ID 1 7 1 Yes 2 Never applied 3 Not allowed to apply 4 Applied and rejected 5 Waiting slip 6 Not applicable 7 Don't know Kenyan Passport Kenyan Passport Kenyan Passport Kenyan Passport Kenyan Passport 1 5 1 Yes 2 Never applied 3 Applied and rejected 4 Not applicable 5 Don't know Other passport Other passport Other passport Other passport Other passport 1 5 1 Yes, specify country 2 Yes, expired. Specify country 3 No 4 Not applicable 5 Don't know Other passport country code Other passport country code Other passport country code Other passport country code Other passport country code 1 3 1 Swahili 2 Kenya 3 Tanzania Alien card Alien card Alien card Alien card Alien card 1 6 1 Yes 2 Yes, expired 3 Never applied 4 Waiting slip 5 Not applicable 6 Don’t know Other document from embassies/consulate Other document from embassies/consulate Other document from embassies/consulate Other document from embassies/consulate Other document from embassies/consulate 1 5 1 Yes, specify country 2 Yes, expired, specify country 3 No 4 Not applicable 5 Don’t know Country code of other documents Country code of other documents Country code of other documents Country code of other documents Country code of other documents 1 4 1 2 825 3 852 4 888 Visits to country of birth or country of origin of spouse or parents Visits to country of birth or country of origin of spouse or parents Visits to country of birth or country of origin of spouse or parents Visits to country of birth or country of origin of spouse or parents Visits to country of birth or country of origin of spouse or parents 1 6 1 More than once per year 2 Once a year 3 Less than once per year 4 Only once or twice 5 Never 6 Not applicable/Don’t know Difficulties as a result of lack of ID documents: EDUCATION Difficulties as a result of lack of ID documents: EDUCATION Difficulties as a result of lack of ID documents: EDUCATION Difficulties as a result of lack of ID documents: EDUCATION Difficulties as a result of lack of ID documents: EDUCATION 1 1 1 1 Difficulties as a result of lack of ID documents: HEALTH SERVICES Difficulties as a result of lack of ID documents: HEALTH SERVICES Difficulties as a result of lack of ID documents: HEALTH SERVICES Difficulties as a result of lack of ID documents: HEALTH SERVICES Difficulties as a result of lack of ID documents: HEALTH SERVICES 1 1 1 1 Difficulties as a result of lack of ID documents: OWNING LAND Difficulties as a result of lack of ID documents: OWNING LAND Difficulties as a result of lack of ID documents: OWNING LAND Difficulties as a result of lack of ID documents: OWNING LAND Difficulties as a result of lack of ID documents: OWNING LAND 1 1 1 1 Difficulties as a result of lack of ID documents: BUYING PROPERTY Difficulties as a result of lack of ID documents: BUYING PROPERTY Difficulties as a result of lack of ID documents: BUYING PROPERTY Difficulties as a result of lack of ID documents: BUYING PROPERTY Difficulties as a result of lack of ID documents: BUYING PROPERTY 1 1 1 1 Difficulties as a result of lack of ID documents: MARRYING Difficulties as a result of lack of ID documents: MARRYING Difficulties as a result of lack of ID documents: MARRYING Difficulties as a result of lack of ID documents: MARRYING Difficulties as a result of lack of ID documents: MARRYING 1 1 1 1 Difficulties as a result of lack of ID documents: TRAVELING Difficulties as a result of lack of ID documents: TRAVELING Difficulties as a result of lack of ID documents: TRAVELING Difficulties as a result of lack of ID documents: TRAVELING Difficulties as a result of lack of ID documents: TRAVELING 1 1 1 1 Difficulties as a result of lack of ID documents: EMPLOYMENT Difficulties as a result of lack of ID documents: EMPLOYMENT Difficulties as a result of lack of ID documents: EMPLOYMENT Difficulties as a result of lack of ID documents: EMPLOYMENT Difficulties as a result of lack of ID documents: EMPLOYMENT 1 1 1 1 Difficulties as a result of lack of ID documents: BUSINESS Difficulties as a result of lack of ID documents: BUSINESS Difficulties as a result of lack of ID documents: BUSINESS Difficulties as a result of lack of ID documents: BUSINESS Difficulties as a result of lack of ID documents: BUSINESS 1 1 1 1 Difficulties as a result of lack of ID documents: PRACTICING RELIGION Difficulties as a result of lack of ID documents: PRACTICING RELIGION Difficulties as a result of lack of ID documents: PRACTICING RELIGION Difficulties as a result of lack of ID documents: PRACTICING RELIGION Difficulties as a result of lack of ID documents: PRACTICING RELIGION 1 1 1 1 Difficulties as a result of lack of ID documents: PARTICIP. IN LOCAL LEADERSHIP Difficulties as a result of lack of ID documents: PARTICIP. IN LOCAL LEADERSHIP Difficulties as a result of lack of ID documents: PARTICIP. IN LOCAL LEADERSHIP Difficulties as a result of lack of ID documents: PARTICIP. IN LOCAL LEADERSHIP Difficulties as a result of lack of ID documents: PARTICIP. IN LOCAL LEADERSHIP 1 1 1 1 Difficulties as a result of lack of ID documents: ACCESS TO BANK SERVICES Difficulties as a result of lack of ID documents: ACCESS TO BANK SERVICES Difficulties as a result of lack of ID documents: ACCESS TO BANK SERVICES Difficulties as a result of lack of ID documents: ACCESS TO BANK SERVICES Difficulties as a result of lack of ID documents: ACCESS TO BANK SERVICES 1 1 1 1 Difficulties as a result of lack of ID documents: JOINING ORGANIZATIONS Difficulties as a result of lack of ID documents: JOINING ORGANIZATIONS Difficulties as a result of lack of ID documents: JOINING ORGANIZATIONS Difficulties as a result of lack of ID documents: JOINING ORGANIZATIONS Difficulties as a result of lack of ID documents: JOINING ORGANIZATIONS 1 1 1 1 Difficulties as a result of lack of ID documents: VOTING IN ELECTIONS Difficulties as a result of lack of ID documents: VOTING IN ELECTIONS Difficulties as a result of lack of ID documents: VOTING IN ELECTIONS Difficulties as a result of lack of ID documents: VOTING IN ELECTIONS Difficulties as a result of lack of ID documents: VOTING IN ELECTIONS 1 1 1 1 Difficulties as a result of lack of ID documents: STANDING FOR ELECTIONS Difficulties as a result of lack of ID documents: STANDING FOR ELECTIONS Difficulties as a result of lack of ID documents: STANDING FOR ELECTIONS Difficulties as a result of lack of ID documents: STANDING FOR ELECTIONS Difficulties as a result of lack of ID documents: STANDING FOR ELECTIONS 1 1 1 1 Difficulties as a result of lack of ID documents: HARASSMENT BY POLICE/OTH AUTHO Difficulties as a result of lack of ID documents: HARASSMENT BY POLICE/OTH AUTHO Difficulties as a result of lack of ID documents: HARASSMENT BY POLICE/OTH AUTHO Difficulties as a result of lack of ID documents: HARASSMENT BY POLICE/OTH AUTHO Difficulties as a result of lack of ID documents: HARASSMENT BY POLICE/OTH AUTHO 1 1 1 1 Difficulties as a result of lack of ID documents: GETTING RELIEF AND OTH SUPPLIE Difficulties as a result of lack of ID documents: GETTING RELIEF AND OTH SUPPLIE Difficulties as a result of lack of ID documents: GETTING RELIEF AND OTH SUPPLIE Difficulties as a result of lack of ID documents: GETTING RELIEF AND OTH SUPPLIE Difficulties as a result of lack of ID documents: GETTING RELIEF AND OTH SUPPLIE 1 1 1 1 Difficulties as a result of lack of ID documents: OTHER Difficulties as a result of lack of ID documents: OTHER Difficulties as a result of lack of ID documents: OTHER Difficulties as a result of lack of ID documents: OTHER Difficulties as a result of lack of ID documents: OTHER 1 1 1 1 Difficulties as a result of lack of ID documents: NO DIFFICULTIES Difficulties as a result of lack of ID documents: NO DIFFICULTIES Difficulties as a result of lack of ID documents: NO DIFFICULTIES Difficulties as a result of lack of ID documents: NO DIFFICULTIES Difficulties as a result of lack of ID documents: NO DIFFICULTIES 1 1 1 1 Difficulties as a result of lack of ID documents: NO ANSWER Difficulties as a result of lack of ID documents: NO ANSWER Difficulties as a result of lack of ID documents: NO ANSWER Difficulties as a result of lack of ID documents: NO ANSWER Difficulties as a result of lack of ID documents: NO ANSWER 1 1 1 1 Difficulties as a result of lack of ID documents: NOT APPLICABLE Difficulties as a result of lack of ID documents: NOT APPLICABLE Difficulties as a result of lack of ID documents: NOT APPLICABLE Difficulties as a result of lack of ID documents: NOT APPLICABLE Difficulties as a result of lack of ID documents: NOT APPLICABLE 1 1 1 1 Difficulties as a result of lack of ID documents: DON'T KNOW Difficulties as a result of lack of ID documents: DON'T KNOW Difficulties as a result of lack of ID documents: DON'T KNOW Difficulties as a result of lack of ID documents: DON'T KNOW Difficulties as a result of lack of ID documents: DON'T KNOW 1 1 1 1 Problems with neigh-bours due to origin of household members Problems with neigh-bours due to origin of household members Problems with neigh-bours due to origin of household members Problems with neigh-bours due to origin of household members Problems with neigh-bours due to origin of household members 1 3 1 Yes 2 No 3 Don't know