DDI_UGA_2020_HFPS_v01_M_v01_A_COVID Development Economics Data Group 2021-11-01 NADA Version 01 (November 2021). Metadata for harmonized datasets. High-Frequency Phone Survey on COVID-19 2020-2021 - World Bank LSMS Harmonized Dataset COVID-19 HFPS 2020 UGA_2020_HFPS_v01_M_v01_A_COVID Uganda Bureau of Statistics (UBOS) The World Bank NADA Government of Uganda The World Bank Government of Netherlands LSMS Data Manager Other Household Survey [hh/oth] The World Bank LSMS Harmonized datasets includes harmonized variables, produced by the Living Standards Measurement Study team of the World Bank. Version 01: Includes variables from Uganda - National Panel Survey 2019-2020 and Uganda - High-Frequency Phone Survey on COVID-19 2020-2021, Rounds 1 to 6. To facilitate the use of data collected through the high-frequency phone surveys on COVID-19, the Living Standards Measurement Study (LSMS) team has created the harmonized datafiles using two household surveys: 1) the country’ latest face-to-face survey which has become the sample frame for the phone survey, and 2) the country’s high-frequency phone survey on COVID-19. The LSMS team has extracted and harmonized variables from these surveys, based on the harmonized definitions and ensuring the same variable names. These variables include demography as well as housing, household consumption expenditure, food security, and agriculture. Inevitably, many of the original variables are collected using questions that are asked differently. The harmonized datafiles include the best available variables with harmonized definitions. Two harmonized datafiles are prepared for each survey. The two datafiles are: 1. HH: This datafile contains household-level variables. The information include basic household characterizes, housing, water and sanitation, asset ownership, consumption expenditure, consumption quintile, food security, livestock ownership. It also contains information on agricultural activities such as crop cultivation, use of organic and inorganic fertilizer, hired labor, use of tractor and crop sales. 2. IND: This datafile contains individual-level variables. It includes basic characteristics of individuals such as age, sex, marital status, disability status, literacy, education and work. Uganda National - Households - Individuals The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories. Sample survey data [ssd] The scope of the harmonized files includes: HOUSEHOLD: - Basic household characteristics - Housing - Water and sanitation - Ownership of durable assets - Consumption expenditure (total, food, and non-food) - Consumption quintile - Remittance - Food security - Ownership of non-farm enterprise - Agricultural activities - Ownership of livestock INDIVIDUAL: - Demographic characteristics (sex, age) - Marital status - Disability status - Literacy - Education - Work See “Uganda - National Panel Survey 2019-2020” and “Uganda - High-Frequency Phone Survey on COVID-19 2020-2021” documentations available in the Microdata Library for details. Computer Assisted Personal Interview [capi] Uganda National Panel Survey 2019-2020 and Uganda High-Frequency Phone Survey on COVID-19 2020-2021 data were harmonized following the harmonization guidelines (see “Harmonized Datafiles and Variables for High-Frequency Phone Surveys on COVID-19” for more details). The high-frequency phone survey on COVID-19 has multiple rounds of data collection. When variables are extracted from multiple rounds of the survey, the originating round of the survey is noted with “_rX” in the variable name, where X represents the number of the round. For example, a variable with “_r3” presents that the variable was extracted from Round 3 of the high-frequency phone survey. Round 0 refers to the country’s latest face-to-face survey which has become the sample frame for the high-frequency phone surveys on COVID-19. When the variables are without “_rX”, they were extracted from Round 0. See “Uganda - National Panel Survey 2019-2020” and “Uganda - High-Frequency Phone Survey on COVID-19 2020-2021” documentations available in the Microdata Library for details. CITATION REQUIREMENTS Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Example: Uganda Bureau of Statistics. High-Frequency Phone Survey on COVID-19 2020-2021 – World Bank LSMS Harmonized Dataset. Dataset downloaded from [URL] on [date]. Before being granted access to the dataset, all users have to formally agree: 1. To make no copies of any files or portions of files to which s/he is granted access except those authorized by the data depositor. 2. Not to use any technique in an attempt to learn the identity of any person, establishment, or sampling unit not identified on public use data files. 3. To hold in strictest confidence the identification of any establishment or individual that may be inadvertently revealed in any documents or discussion, or analysis. Such inadvertent identification revealed in her/his analysis will be immediately brought to the attention of the data depositor. The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses. uga_ind.dta This datafile contains harmonized variables, including basic characteristics of individuals such as age, sex, marital status, disability status, literacy, education and work. It is at the individual level. 16886 47 uga_hh.dta This datafile contains harmonized variables, including basic household characterizes, housing, water and sanitation, asset ownership, consumption expenditure, consumption quintile, food security, livestock ownership. It also contains information on agricultural activities such as crop cultivation, use of organic and inorganic fertilizer, hired labor, use of tractor and crop sales. It is at the household level. 3098 179 Household ID Household ID Household ID Household ID Household ID 16886 Individual ID Individual ID Individual ID Individual ID Individual ID 16886 32 Sex Sex Sex Sex Sex 16786 100 1 2 1 1. MALE 2 2. FEMALE Sysmiss Age (Round 0) Age (Round 0) Age (Round 0) Age (Round 0) Age (Round 0) 14701 2185 103 Age (Round 1+) Age (Round 1+) Age (Round 1+) Age (Round 1+) Age (Round 1+) 13089 3797 106 Currently married Currently married Currently married Currently married Currently married 14706 2180 1 0. NO 1 1. YES Sysmiss Formerly married Formerly married Formerly married Formerly married Formerly married 14706 2180 1 0. NO 1 1. YES Sysmiss Never married Never married Never married Never married Never married 14706 2180 1 0. NO 1 1. YES Sysmiss With disability With disability With disability With disability With disability 16886 * 0. NO 1 1. YES Sysmiss Religion Religion Religion Religion Religion 16886 * 1 1. CHRISTIANITY 2 2. ISLAM 3 3. OTHER Sysmiss Literacy Literacy Literacy Literacy Literacy 14706 2180 1 0. NO 1 1. YES Sysmiss Highest level of education completed Highest level of education completed Highest level of education completed Highest level of education completed Highest level of education completed 14706 2180 3 0. NONE 1 1. PRIMARY 2 2. SECONDARY 3 3. TERTIARY Sysmiss Working status Working status Working status Working status Working status 14706 2180 1 0. NO 1 1. YES Sysmiss Member of household (Round 0) Member of household (Round 0) Member of household (Round 0) Member of household (Round 0) Member of household (Round 0) 16886 1 0. NO 1 1. YES Head of household (Round 0) Head of household (Round 0) Head of household (Round 0) Head of household (Round 0) Head of household (Round 0) 16886 1 0. NO 1 1. YES Relationship to head of household (Round 0) Relationship to head of household (Round 0) Relationship to head of household (Round 0) Relationship to head of household (Round 0) Relationship to head of household (Round 0) 14701 2185 1 10 1 1. Head 2 2. Spouse 3 3. Son / daughter of head or spouse 4 4. Grandchild 5 5. Parent of head or spouse 6 6. Sister / brother of head or spouse 7 7. Nephew / niece 8 8. Other relatives 10 10. Non-relative Sysmiss Other relationship to head of household (Round 0) Other relationship to head of household (Round 0) Other relationship to head of household (Round 0) Other relationship to head of household (Round 0) Other relationship to head of household (Round 0) 16886 * Sysmiss Member of household (Round 1) Member of household (Round 1) Member of household (Round 1) Member of household (Round 1) Member of household (Round 1) 13190 3696 1 0. NO 1 1. YES Sysmiss Head of household (Round 1) Head of household (Round 1) Head of household (Round 1) Head of household (Round 1) Head of household (Round 1) 13190 3696 1 0. NO 1 1. YES Sysmiss Respondent (Round 1) Respondent (Round 1) Respondent (Round 1) Respondent (Round 1) Respondent (Round 1) 13207 3679 1 0. NO 1 1. YES Sysmiss Relationship to head of household (Round 1) Relationship to head of household (Round 1) Relationship to head of household (Round 1) Relationship to head of household (Round 1) Relationship to head of household (Round 1) 12155 4731 1 15 1 1. HEAD 2 2. SPOUSE 3 3. OWN CHILD 4 4. STEP CHILD 5 5. ADOPTED CHILD 6 6. GRANDCHILD 7 7. BROTHER/SISTER 8 8. NIECE/NEPHEW 9 9. BROTHER/SISTER-IN-LAW 10 10. PARENT 11 11. PARENT-IN-LAW 12 12. DOMESTIC HELP (RESIDENT) 13 13. DOMESTIC HELP (NON RESIDENT) 14 14. OTHER RELATION (SPECIFY ) 15 15. OTHER NON-RELATION (SPECIFY) Sysmiss Other relationship to head of household (Round 1) Other relationship to head of household (Round 1) Other relationship to head of household (Round 1) Other relationship to head of household (Round 1) Other relationship to head of household (Round 1) 16886 Member of household (Round 2) Member of household (Round 2) Member of household (Round 2) Member of household (Round 2) Member of household (Round 2) 13008 3878 1 0. NO 1 1. YES Sysmiss Head of household (Round 2) Head of household (Round 2) Head of household (Round 2) Head of household (Round 2) Head of household (Round 2) 13008 3878 1 0. NO 1 1. YES Sysmiss Respondent (Round 2) Respondent (Round 2) Respondent (Round 2) Respondent (Round 2) Respondent (Round 2) 13021 3865 1 0. NO 1 1. YES Sysmiss Relationship to head of household (Round 2) Relationship to head of household (Round 2) Relationship to head of household (Round 2) Relationship to head of household (Round 2) Relationship to head of household (Round 2) 11961 4925 1 15 1 1. head 2 2. spouse 3 3. OWN CHILD 4 4. STEP CHILD 5 5. ADOPTED CHILD 6 6. grandchild 7 7. BROTHER/SISTER 8 8. NIECE/NEPHEW 9 9. BROTHER/SISTER-IN-LAW 10 10. parent 11 11. PARENT-IN-LAW 12 12. DOMESTIC HELP (RESIDENT) 13 13. DOMESTIC HELP (NON RESIDENT) 14 14. OTHER RELATION (SPECIFY ) 15 15. OTHER NON-RELATION (SPECIFY) Sysmiss Other relationship to head of household (Round 2) Other relationship to head of household (Round 2) Other relationship to head of household (Round 2) Other relationship to head of household (Round 2) Other relationship to head of household (Round 2) 16886 Member of household (Round 3) Member of household (Round 3) Member of household (Round 3) Member of household (Round 3) Member of household (Round 3) 12698 4188 1 0. NO 1 1. YES Sysmiss Head of household (Round 3) Head of household (Round 3) Head of household (Round 3) Head of household (Round 3) Head of household (Round 3) 12698 4188 1 0. NO 1 1. YES Sysmiss Respondent (Round 3) Respondent (Round 3) Respondent (Round 3) Respondent (Round 3) Respondent (Round 3) 12705 4181 1 0. NO 1 1. YES Sysmiss Relationship to head of household (Round 3) Relationship to head of household (Round 3) Relationship to head of household (Round 3) Relationship to head of household (Round 3) Relationship to head of household (Round 3) 11655 5231 1 15 1 1. HEAD 2 2. SPOUSE 3 3. OWN CHILD 4 4. STEP CHILD 5 5. ADOPTED CHILD 6 6. GRANDCHILD 7 7. BROTHER/SISTER 8 8. NIECE/NEPHEW 9 9. BROTHER/SISTER-IN-LAW 10 10. PARENT 11 11. PARENT-IN-LAW 12 12. DOMESTIC HELP (RESIDENT) 13 13. DOMESTIC HELP (NON RESIDENT) 14 14. OTHER RELATION (SPECIFY ) 15 15. OTHER NON-RELATION (SPECIFY) Sysmiss Other relationship to head of household (Round 3) Other relationship to head of household (Round 3) Other relationship to head of household (Round 3) Other relationship to head of household (Round 3) Other relationship to head of household (Round 3) 16886 Member of household (Round 4) Member of household (Round 4) Member of household (Round 4) Member of household (Round 4) Member of household (Round 4) 12607 4279 1 0. NO 1 1. YES Sysmiss Head of household (Round 4) Head of household (Round 4) Head of household (Round 4) Head of household (Round 4) Head of household (Round 4) 12607 4279 1 0. NO 1 1. YES Sysmiss Respondent (Round 4) Respondent (Round 4) Respondent (Round 4) Respondent (Round 4) Respondent (Round 4) 12640 4246 1 0. NO 1 1. YES Sysmiss Relationship to head of household (Round 4) Relationship to head of household (Round 4) Relationship to head of household (Round 4) Relationship to head of household (Round 4) Relationship to head of household (Round 4) 11647 5239 1 15 1 1. HEAD 2 2. SPOUSE 3 3. OWN CHILD 4 4. STEP CHILD 5 5. ADOPTED CHILD 6 6. GRANDCHILD 7 7. BROTHER/SISTER 8 8. NIECE/NEPHEW 9 9. BROTHER/SISTER-IN-LAW 10 10. PARENT 11 11. PARENT-IN-LAW 12 12. DOMESTIC HELP (RESIDENT) 13 13. DOMESTIC HELP (NON RESIDENT) 14 14. OTHER RELATION (SPECIFY ) 15 15. OTHER NON-RELATION (SPECIFY) Sysmiss Other relationship to head of household (Round 4) Other relationship to head of household (Round 4) Other relationship to head of household (Round 4) Other relationship to head of household (Round 4) Other relationship to head of household (Round 4) 16886 Member of household (Round 5) Member of household (Round 5) Member of household (Round 5) Member of household (Round 5) Member of household (Round 5) 12591 4295 1 0. NO 1 1. YES Sysmiss Head of household (Round 5) Head of household (Round 5) Head of household (Round 5) Head of household (Round 5) Head of household (Round 5) 12591 4295 1 0. NO 1 1. YES Sysmiss Respondent (Round 5) Respondent (Round 5) Respondent (Round 5) Respondent (Round 5) Respondent (Round 5) 12597 4289 1 0. NO 1 1. YES Sysmiss Relationship to head of household (Round 5) Relationship to head of household (Round 5) Relationship to head of household (Round 5) Relationship to head of household (Round 5) Relationship to head of household (Round 5) 11685 5201 1 15 1 1. HEAD 2 2. SPOUSE 3 3. OWN CHILD 4 4. STEP CHILD 5 5. ADOPTED CHILD 6 6. GRANDCHILD 7 7. BROTHER/SISTER 8 8. NIECE/NEPHEW 9 9. BROTHER/SISTER-IN-LAW 10 10. PARENT 11 11. PARENT-IN-LAW 12 12. DOMESTIC HELP (RESIDENT) 13 13. DOMESTIC HELP (NON RESIDENT) 14 14. OTHER RELATION (SPECIFY ) 15 15. OTHER NON-RELATION (SPECIFY) Sysmiss Other relationship to head of household (Round 5) Other relationship to head of household (Round 5) Other relationship to head of household (Round 5) Other relationship to head of household (Round 5) Other relationship to head of household (Round 5) 16886 Member of household (Round 6) Member of household (Round 6) Member of household (Round 6) Member of household (Round 6) Member of household (Round 6) 12374 4512 1 0. NO 1 1. YES Sysmiss Head of household (Round 6) Head of household (Round 6) Head of household (Round 6) Head of household (Round 6) Head of household (Round 6) 12374 4512 1 0. NO 1 1. YES Sysmiss Respondent (Round 6) Respondent (Round 6) Respondent (Round 6) Respondent (Round 6) Respondent (Round 6) 12374 4512 1 0. NO 1 1. YES Sysmiss Relationship to head of household (Round 6) Relationship to head of household (Round 6) Relationship to head of household (Round 6) Relationship to head of household (Round 6) Relationship to head of household (Round 6) 11359 5527 1 15 1 1. MALE 2 2. FEMALE 3 4 5 6 7 8 9 10 11 12 13 14 15 Sysmiss Other relationship to head of household (Round 6) Other relationship to head of household (Round 6) Other relationship to head of household (Round 6) Other relationship to head of household (Round 6) Other relationship to head of household (Round 6) 16886 Household ID Household ID Household ID Household ID Household ID 3098 Region Code Region Code Region Code Region Code Region Code 3095 3 1 4 1 1. Central 2 2. Eastern 3 3. Northern 4 4. Western Sysmiss District Code District Code District Code District Code District Code 3097 1 1 122 1 1. ABIM 2 2. ADJUMANI 3 3. AGAGO 4 4. ALEBTONG 5 5. AMOLATAR 6 6. AMUDAT 7 7. AMURU 8 8. APAC 9 9. ARUA 10 10. BUDUDA 11 11. BUGIRI 12 12. BUGWERI 13 13. BUHWEJU 14 14. BUIKWE 15 15. BUKEDEA 16 16. BUKOMANSIMBI 17 17. BULAMBULI 18 18. BUNYANGABU 19 19. BUSHENYI 20 20. BUSIA 21 21. BUTALEJA 22 22. BUTAMBALA 23 23. BUTEBO 24 24. BUVUMA 25 25. BUYENDE 26 26. DOKOLO 27 27. GULU 28 28. HOIMA 29 29. IBANDA 30 30. IGANGA 31 31. ISINGIRO 32 32. JINJA 33 33. KAABONG 34 34. KABALE 35 35. KABAROLE 36 36. KAGADI 37 37. KAKUMIRO 38 38. KALANGALA 39 39. KALIRO 40 40. KALUNGU 41 41. KAMPALA 42 42. KAMULI 43 43. KAMWENGE 44 44. KANUNGU 45 45. KAPCHORWA 46 46. KAPELEBYONG 47 47. KASESE 48 48. KASSANDA 49 49. KATAKWI 50 50. KAYUNGA 51 51. KIBAALE 52 52. KIBOGA 53 53. KIBUKU 54 54. KIKUUBE 55 55. KIRUHURA 56 56. KIRYANDONGO 57 57. KISORO 58 58. KITGUM 59 59. KOBOKO 60 60. KOLE 61 61. KOTIDO 62 62. KUMI 63 63. KWANIA 64 64. KWEEN 65 65. KYANKWANZI 66 66. KYEGEGWA 67 67. KYENJOJO 68 68. KYOTERA 69 69. LAMWO 70 70. LIRA 71 71. LUUKA 72 72. LUWERO 73 73. LWENGO 74 74. LYANTONDE 75 75. MANAFWA 76 76. MARACHA 77 77. MASAKA 78 78. MASINDI 79 79. MAYUGE 80 80. MBALE 81 81. MBARARA 82 82. MITOOMA 83 83. MITYANA 84 84. MOROTO 85 85. MOYO 86 86. MPIGI 87 87. MUBENDE 88 88. MUKONO 89 89. NABILATUK 90 90. NAKAPIRIPIRIT 91 91. NAKASEKE 92 92. NAMAYINGO 93 93. NAMISINDWA 94 94. NAMTUMBA 95 95. NAMUTUMBA 96 96. NAPAK 97 97. NEBBI 98 98. NGORA 99 99. NTOROKO 100 100. NTUNGAMO 101 101. NWOYA 102 102. OMORO 103 103. OTUKE 104 104. OYAM 105 105. PADER 106 106. PAKWACH 107 107. PALISA 108 108. PALLISA 109 109. RAKAI 110 110. RUBANDA 111 111. RUKIGA 112 112. RUKINGIRI 113 113. RUKUNGIRI 114 114. SERERE 115 115. SHEEMA 116 116. SIRONKO 117 117. SOROTI 118 118. SSEMBABULE 119 119. TORORO 120 120. WAKISO 121 121. YUMBE 122 122. ZOMBO Sysmiss County/Municipality Code County/Municipality Code County/Municipality Code County/Municipality Code County/Municipality Code 3097 1 1 188 1 1. AGAGO 2 2. AGULE 3 3. APAC MUNICIPALITY 4 4. ARINGA 5 5. ARUA MUNICIPALITY 6 6. ARUU 7 7. ASWA 8 8. AYIVU 9 9. BAMUNANIKA 10 10. BBAALE 11 11. BOKORA 12 12. BUBULO 13 13. BUDADIRI 14 14. BUDIOPE 15 15. BUFUMBIRA 16 16. BUGABULA 17 17. BUGAHYA 18 18. BUGANGAIZI 19 19. BUGEMBE TOWN COUNCIL 20 20. BUGWERI 21 21. BUHAGUZI 22 22. BUHWEJU 23 23. BUIKWE 24 24. BUJENJE 25 25. BUKANGA 26 26. BUKEDEA 27 27. BUKOMANSIMBI 28 28. BUKONZO 29 29. BUKOOLI 30 30. BUKOOLI NORTH 31 31. BUKOTO 32 32. BULAMBULI 33 33. BULAMOGI 34 34. BUNGOKHO 35 35. BUNYA 36 36. BUNYANGABU 37 37. BUNYOLE 38 38. BURAHYA 39 39. BURULI 40 40. BUSIKI 41 41. BUSIRO 42 42. BUSONGORA 43 43. BUSUJJU 44 44. BUTAMBALA 45 45. BUTEBO 46 46. BUTEMBE 47 47. BUTIITI 48 48. BUVUMA ISLAND 49 49. BUWEKULA 50 50. BUYAGA 51 51. BUYANJA 52 52. BUZAAYA 53 53. CHEKWII 54 54. CHUA 55 55. DODOTH 56 56. DOKOLO 57 57. EAST MOYO 58 58. ENTEBBE MUNICIPALITY 59 59. ERUTE 60 60. ERUTE NORTH 61 61. FORT PORTAL MUNICIPALITY 62 62. GULU MUNICIPALITY 63 63. HOIMA 64 64. HOIMA MUNICIPALITY 65 65. IBANDA 66 66. IBANDA MUNICIPALITY 67 67. IGANGA MUNICIPALITY 68 68. IGARA 69 69. ISINGIRO 70 70. JIE 71 71. JINJA MUNICIPALITY 72 72. JONAM 73 73. KABALE MUNICIPALITY 74 74. KABULA 75 75. KAGOMA 76 76. KAJARA 77 77. KAKUUTO 78 78. KALUNGU 79 79. KAMPALA CAPITAL CITY AUTHORITY 80 80. KAPELEBYONG 81 81. KASAMBYA 82 82. KASESE MUNICIPALITY 83 83. KASHARI 84 84. KASILO 85 85. KASSANDA 86 86. KATIKAMU 87 87. KAZO 88 88. KCCA 89 89. KIBANDA 90 90. KIBOGA 91 91. KIBUKU 92 92. KIGULU 93 93. KILAK 94 94. KINKIIZI 95 95. KIOGA 96 96. KIRA 97 97. KIRA MUNICIPALITY 98 98. KITAGWENDA 99 99. KITGUM MUNICIPALITY 100 100. KOBOKO 101 101. KOBOKO MUNCIPALITY 102 102. KOBOKO MUNICIPALITY 103 103. KOLE 104 104. KOOKI 105 105. KOTIDO MUNICIPALITY 106 106. KUMI 107 107. KUMI MUNICIPALITY 108 108. KWANIA 109 109. KWEEN 110 110. KYADONDO 111 111. KYAKA 112 112. KYAMUSWA 113 113. KYANDONDO 114 114. KYOTERA 115 115. LABWOR 116 116. LAMWO 117 117. LIRA MUNICIPALITY 118 118. LUGAZI MUNICIPALITY 119 119. LUUKA 120 120. LWEMIYAGA 121 121. MADI OKOLLO 122 122. MAKIDYE SSABAGABO MUNICIPALITY 123 123. MAKINDYE SSABAGABO MUNICIPALITY 124 124. MANJIYA 125 125. MARACHA 126 126. MARUZI 127 127. MASAKA MUNICIPALITY 128 128. MASINDI MUNICIPALITY 129 129. MATHENIKO 130 130. MAWOGOLA 131 131. MAWOKOTA 132 132. MBALE MUNICIPALITY 133 133. MBARARA MUNICIPAL 134 134. MBARARA MUNICIPALITY 135 135. MITYANA 136 136. MITYANA MUNICIPALITY 137 137. MOROTO 138 138. MOROTO MUNICIPALITY 139 139. MUBENDE MUNICIPALITY 140 140. MUKONO 141 141. MUKONO MUNICIPALITY 142 142. MUNICIPALITY 143 143. MWENGE 144 144. NAKASEKE 145 145. NAKIFUMA 146 146. NANSANA MUNICIPALITY 147 147. NDORWA 148 148. NEBBI MUNICIPALITY 149 149. NGORA 150 150. NJERU MUNICIPALITY 151 151. NTENJERU 152 152. NTOROKO 153 153. NTUNGAMO MUNICIPALITY 154 154. NWOYA 155 155. NYABUSHOZI 156 156. OBONGI 157 157. OKORO 158 158. OMORO 159 159. OTUKE 160 160. OYAM 161 161. PADYERE 162 162. PALLISA 163 163. PIAN 164 164. POKOT 165 165. RUBABO 166 166. RUBAGA 167 167. RUBANDA 168 168. RUHAAMA 169 169. RUHINDA 170 170. RUJUMBURA 171 171. RUKIGA 172 172. RUSHENYI 173 173. RWAMPARA 174 174. SAMIA-BUGWE 175 175. SERERE 176 176. SHEEMA 177 177. SHEEMA MUNICIPALITY 178 178. SINGO 179 179. SOROTI 180 180. TEREGO 181 181. TINGEY 182 182. TOROMA 183 183. TORORO 184 184. TORORO MUNICIPALITY 185 185. USUK 186 186. VURRA 187 187. WEST BUDAMA 188 188. WEST MOYO Sysmiss Sub-County/Division/Town Council Code Sub-County/Division/Town Council Code Sub-County/Division/Town Council Code Sub-County/Division/Town Council Code Sub-County/Division/Town Council Code 3097 1 1 511 1 1. ABANGA 2 2. ABER 3 3. ABIA 4 4. ABIM 5 5. ABOKE 6 6. ABONGOMOLA 7 7. ACABA 8 8. ADEKNINO 9 9. ADEKOKWOK 10 10. ADOK 11 11. ADROPI 12 12. ADUMI 13 13. ADWARI 14 14. ADYEL DIVISION 15 15. AGULU DIVISION 16 16. AGWATA 17 17. AGWINGIRI 18 18. AII-VU 19 19. AJIA 20 20. AKISIM 21 21. AKOKORO 22 22. AKOROMIT 23 23. ALEBTONG TOWN COUNCIL 24 24. ALEREK 25 25. ALITO 26 26. ALOI 27 27. AMUDAT 28 28. AMUGU 29 29. ANGANGURA 30 30. APALA 31 31. APO 32 32. APUTI 33 33. ARAPAI 34 34. ARIWA 35 35. AROCHA DIVISION 36 36. AROI 37 37. AROMO 38 38. ARUA HILL DIVISION 39 39. ARWOTCEK 40 40. ATANGA 41 41. ATIK DIVISION 42 42. ATYAK 43 43. AWACH 44 44. AWEI 45 45. AWERE 46 46. BAITAMBOGWE 47 47. BALA 48 48. BALAWOLI 49 49. BARR 50 50. BBAALE 51 51. BIGASA 52 52. BIHANGA 53 53. BIHARWE DIVISION 54 54. BILEAFE 55 55. BINYINY 56 56. BIREERE 57 57. BIRERE 58 58. BISHESHE 59 59. BISHESHE DIVISION 60 60. BITSYA 61 61. BOBBI 62 62. BOBI 63 63. BOMBO TOWN COUNCIL 64 64. BUBAARE 65 65. BUBUTU 66 66. BUDONDO 67 67. BUDONGO 68 68. BUDUDA 69 69. BUFUNDA DIVISION 70 70. BUGAMBE 71 71. BUGANGARI 72 72. BUGAYA 73 73. BUGEMBE TOWN COUNCIL 74 74. BUGONDO 75 75. BUGOYE 76 76. BUGWERI TOWN COUNCIL 77 77. BUHANIKA 78 78. BUHEESI TOWN COUNCIL 79 79. BUHIMBA 80 80. BUJUMBURA 81 81. BUJUMBURA DIVISION 82 82. BUKABOOLI 83 83. BUKASAKYA 84 84. BUKEDEA 85 85. BUKHULO 86 86. BUKIISE 87 87. BUKIRO 88 88. BUKOKHO 89 89. BUKOOMA 90 90. BUKUSU 91 91. BULAAGO 92 92. BULAMOGI 93 93. BULESA 94 94. BUMALIMBA 95 95. BUMWONI 96 96. BUNABWANA 97 97. BUNGATIRA 98 98. BURERE 99 99. BUSANZA 100 100. BUSEDDE 101 101. BUSERUKA 102 102. BUSHIRIBO 103 103. BUSUNJU TOWN COUNCIL 104 104. BUSWALE 105 105. BUTAGAYA 106 106. BUTEBA 107 107. BUTENGA 108 108. BUTUNDUZI TOWN COUNCIL 109 109. BUWALASI 110 110. BUWAMA 111 111. BUWASA 112 112. BUWENGE 113 113. BUWENGE TOWN COUNCIL 114 114. BUWUNGA 115 115. BUYENDE 116 116. BUYENDE TOWN COUNCIL 117 117. BUYINJA 118 118. BWAMBARA 119 119. BWEYALE TOWN COUNCIL 120 120. BWEYOGERERE DIVISION 121 121. BWIKARA 122 122. BWIKARRA 123 123. BWONGYERA 124 124. CENTRAL 125 125. CENTRAL DIVISION 126 126. CHAWENTE 127 127. CHEGERE 128 128. CHEMA 129 129. DADAMU 130 130. DIVISION B 131 131. DOKOLO TC 132 132. EASTERN DIVISION 133 133. GALIRAYA 134 134. GIMARA 135 135. GOMA DIVISION 136 136. GOMBE DIVISION 137 137. GWERI 138 138. HAKIBAALE 139 139. IBUJE 140 140. ICEME 141 141. IKUMBYA 142 142. INDUSTRIAL DIVISON 143 143. ISHONGORORO 144 144. ISHONGORORO TOWN COUNCIL 145 145. ISINGIRO TOWN COUNCIL 146 146. ITOJO 147 147. ITULA 148 148. KAABONG TOWN COUNCIL 149 149. KAABONG WEST 150 150. KABINGO 151 151. KABONERA 152 152. KABWEEZA KYEGEGWA 153 153. KABWOHE DIVISION 154 154. KACHEERA 155 155. KACHONGA 156 156. KACHUMBALA 157 157. KAGADI 158 158. KAGADI TOWN COUNCIL 159 159. KAGAMBA 160 160. KAGANGO 161 161. KAGANGO DIVISION 162 162. KAGULU 163 163. KAHARO 164 164. KAHOORA DIVISON 165 165. KAJJANSI TOWN COUNCIL 166 166. KAKIIKA 167 167. KAKINDO 168 168. KAKINDU 169 169. KAKIRI 170 170. KAKOBA 171 171. KAKOBA DIVISION 172 172. KAKUUTO 173 173. KALAGALA 174 174. KALAMBA 175 175. KALANGAALO 176 176. KALISIZO 177 177. KALUNGU 178 178. KALWANA 179 179. KAMBUGA 180 180. KAMDINI 181 181. KAMEKE 182 182. KAMION 183 183. KAMMENGO 184 184. KAMUDA 185 185. KAMUKUZI DIVISION 186 186. KANONI 187 187. KANYUM 188 188. KANYUMU 189 189. KAPEEKA 190 190. KAPEKE 191 191. KAPIR 192 192. KARAMBI 193 193. KARUGUTU 194 194. KARUJUBU DIVISION 195 195. KASAALI 196 196. KASAMBYA 197 197. KASANGATI 198 198. KASANGATI TOWN COUNCIL 199 199. KASANGOMBE 200 200. KASAWO 201 201. KASENDA 202 202. KASHAMBYA 203 203. KASHARE 204 204. KASHENSHERO TOWN COUNCIL 205 205. KASHOZI DIVISION 206 206. KASODO 207 207. KASSANDA 208 208. KATABI 209 209. KATABI TOWN COUNCIL 210 210. KATETA 211 211. KATHILE 212 212. KATHILE SOUTH 213 213. KATINE 214 214. KATOOKE 215 215. KATRINI 216 216. KAWEMPE 217 217. KAWEMPE DIVISION 218 218. KAWOLO DIVISION 219 219. KAYUNGA 220 220. KAYUNGA TOWN COUNCIL 221 221. KAZO TOWN COUNCIL 222 222. KEI 223 223. KEIHANGARA 224 224. KENSHUNGA 225 225. KIBAALE TOWN COUNCIL 226 226. KIBALINGA 227 227. KIBATSI 228 228. KIBIGA 229 229. KIBIITO 230 230. KIBOGA TOWN COUNCIL 231 231. KICHECHE 232 232. KIDERA 233 233. KIDONGOLE 234 234. KIGANDA 235 235. KIGANDALO 236 236. KIGARAMA 237 237. KIGULYA DIVISION 238 238. KIJOMORO 239 239. KIJONGO 240 240. KIKAATSI 241 241. KIKANDWA 242 242. KIKWAYA 243 243. KIKYENKYE 244 244. KIKYUSA 245 245. KIMAANYA-KYABAKUZA DIVISION 246 246. KINONI 247 247. KIRA DIVISION 248 248. KIRIKA 249 249. KIRUMBA 250 250. KISEKKA 251 251. KISIITA 252 252. KISINGA 253 253. KISOJO 254 254. KISOZI 255 255. KITENGA 256 256. KITIMBWA 257 257. KITOBA 258 258. KITUMBI 259 259. KITWE TOWN COUNCIL 260 260. KIYANGA 261 261. KIYUNI 262 262. KORO 263 263. KOTOMOL 264 264. KUCWINYI 265 265. KULUBA 266 266. KUMI TC 267 267. KYALULANGIRA 268 268. KYAMPISI 269 269. KYAMULIBWA TOWN COUNCIL 270 270. KYANAMIRA 271 271. KYANAMUKAAKA 272 272. KYANGWALI 273 273. KYAZANGA 274 274. KYAZANGA TOWN COUNCIL 275 275. KYEBE 276 276. KYEGEGWA TOWN COUNCIL 277 277. KYENGERA TOWN COUNCIL 278 278. KYENJOJO TOWN COUNCIL 279 279. KYERE 280 280. KYESIIGA 281 281. KYONDO 282 282. KYOTERA TOWN COUNCIL 283 283. LAGORO 284 284. LAGUTI 285 285. LAKE KATWE 286 286. LAROO DIVISION 287 287. LAYIBI DIVISION 288 288. LEFORI 289 289. LII 290 290. LIRA 291 291. LIRA PALWO 292 292. LOBULE 293 293. LODONGA 294 294. LOGIRI 295 295. LORENGEDWAT 296 296. LORO 297 297. LOROO 298 298. LOSILANG DIVISION 299 299. LOTOME 300 300. LOYORO 301 301. LUBAGA DIVISION 302 302. LUBYA 303 303. LUDARA 304 304. LUGUSULU 305 305. LUKAYA TOWN COUNCIL 306 306. LUNYO 307 307. LUSHA 308 308. LWABENGE 309 309. LWAKHAKHA TOWN COUNCIL 310 310. LWAMAGGWA 311 311. LWAMATA 312 312. LWANKONI 313 313. LWEBITAKULI 314 314. LWENGO 315 315. LWENGO TOWN COUNCIL 316 316. LYANTONDE TOWN COUNCIL 317 317. MAANYI 318 318. MAFUBIRA 319 319. MAGALE 320 320. MAGALE TOWN COUNCIL 321 321. MAGAMAGA TOWN COUNCIL 322 322. MAHYORO 323 323. MAKINDYE DIVISION 324 324. MALABA TOWN COUNCIL 325 325. MALERA 326 326. MALONGO 327 327. MANIBE 328 328. MARACHA TOWN COUNCIL 329 329. MASAJJA DIVISION 330 330. MASESE WALUKUBA 331 331. MASULIITA 332 332. MATEETE 333 333. MAZINGA 334 334. MERIKIT 335 335. METU 336 336. MIDIA 337 337. MIJWALA 338 338. MINAKULU 339 339. MITOOMA TOWN COUNCIL 340 340. MOLO 341 341. MORUITA 342 342. MORULEM 343 343. MOYO 344 344. MOYO TOWN COUNCIL 345 345. MPARO 346 346. MPIGI TOWN COUNCIL 347 347. MPONDWE-LHUBIRIHA 348 348. MUCWINI 349 349. MUDUUMA 350 350. MUGUSU 351 351. MUHOKYA 352 352. MUKUJU 353 353. MULANDA 354 354. MUTERERE 355 355. MUTUNDA 356 356. MWIZI 357 357. MYENE 358 358. NABIGASA 359 359. NABITENDE 360 360. NABUKALU 361 361. NABWERU DIVISION 362 362. NADUNGET 363 363. NAGEMBE DIVISION 364 364. NAJJEMBE DIVISION 365 365. NAKALAMA 366 366. NAKALOKE TOWN COUNCIL 367 367. NAKAPIRIPIRIT 368 368. NAKAPIRIPIRIT TOWN COUNCIL 369 369. NAKASEKE 370 370. NAKATSI 371 371. NAKAWA 372 372. NAKAWA DIVISION 373 373. NAMA 374 374. NAMASAGALI 375 375. NAMBIESO 376 376. NAMBOKO 377 377. NAMOKORA 378 378. NAMUGONGO 379 379. NAMUGONGO DIVISION 380 380. NAMUTUMBA 381 381. NAMUTUMBA TOWN COUNCIL 382 382. NAMWENDWA 383 383. NANKOMA 384 384. NANSANA DIVISION 385 385. NANSOLOLO 386 386. NDAGWE 387 387. NDEIJA 388 388. NDEJJE DIVISION 389 389. NDHEW 390 390. NEBBI 391 391. NGAI 392 392. NGARAMA 393 393. NGETTA 394 394. NGOGWE 395 395. NGOLERIET 396 396. NGOMA 397 397. NJERU DIVISION 398 398. NKANDWA 399 399. NKOZI 400 400. NORTHERN DIVISION 401 401. NORTHERN DIVISON 402 402. NTUNGAMO 403 403. NTUUSI 404 404. NTWETWE TOWN COUNCIL 405 405. NYABBANI 406 406. NYABUBARE 407 407. NYABUHARWA 408 408. NYAKISHANA 409 409. NYAKISHENYI 410 410. NYAKITUNDA 411 411. NYAKYERA 412 412. NYAMAREBE 413 413. NYAMARWA 414 414. NYAMITANGA DIVISION 415 415. NYAMWAMBA DIVISION 416 416. NYANKWANZI 417 417. NYAPEA 418 418. NYARUBUYE 419 419. NYARUSIZA 420 420. NYENDO-SSENYANGE DIVISION 421 421. NYENGA 422 422. NYENGA DIVISION 423 423. NYERO 424 424. OBONGI TOWN COUNCIL 425 425. ODUPI 426 426. OGUR 427 427. OGWETTE 428 428. OJWINA DIVISION 429 429. OKWANG 430 430. OKWERODOT 431 431. OLEBA 432 432. OLILIM 433 433. OLOK 434 434. OMODOI 435 435. OMOT 436 436. OMUGO 437 437. ONGINO 438 438. ONGONGOJA 439 439. OPWATETA 440 440. OSUKURU 441 441. OTWAL 442 442. PABO 443 443. PADIBE WEST 444 444. PAGER DIVISION 445 445. PAIDHA 446 446. PAIDHA TC 447 447. PAIDHA TOWN COUNCIL 448 448. PAIMOL 449 449. PAJULU 450 450. PAKANYI 451 451. PAKWACH 452 452. PAKWACH TOWN COUNCIL 453 453. PATIKO 454 454. PAYA 455 455. PECE DIVISION 456 456. RAILWAY DIVISION 457 457. RENGEN 458 458. RHINO CAMP 459 459. RIGBO 460 460. RUBAARE 461 461. RUBAARE TOWN COUNCIL 462 462. RUBAGA 463 463. RUBAGA DIVISION 464 464. RUBANDA TOWN COUNCIL 465 465. RUBAYA 466 466. RUBINDI 467 467. RUBONGI 468 468. RUGANDO 469 469. RUGASHARI 470 470. RUGYEYO 471 471. RUHAAMA 472 472. RUHINDA 473 473. RUKIRI 474 474. RUPA 475 475. RUYONZA 476 476. RWANYAMAHEMBE 477 477. RWASHAMAIRE TOWN COUNCIL 478 478. RWENGWE 479 479. RWENSHANDE 480 480. RWENTUUHA TOWN COUNCIL 481 481. SANGA 482 482. SANGAR 483 483. SEMUTO TOWN COUNCIL 484 484. SERERE TOWN COUNCIL 485 485. SIDOK 486 486. SIGULU ISLAND 487 487. SIRONKO TOWN COUNCIL 488 488. SISUNI 489 489. SOROTI 490 490. SOUTHERN DIVISION 491 491. SOUTHERN DIVISON 492 492. SSEKANYONYI 493 493. SSI-BUKUNJA 494 494. SSISA 495 495. TARA 496 496. TOROMA 497 497. TTAMU DIVISION 498 498. TUBUR 499 499. UNYAMA 500 500. USUK 501 501. VURRA 502 502. WADELAI 503 503. WAIRASA 504 504. WAKISO 505 505. WAKISO TOWN COUNCIL 506 506. WANALE DIVISION 507 507. WESTERN DIVISION 508 508. WOBULENZI TOWN COUNCIL 509 509. YIVU 510 510. ZIROBWE 511 511. ZOMBO TOWN COUNCIL Sysmiss EA Code EA Code EA Code EA Code EA Code 3098 Survey year (Round 0) Survey year (Round 0) Survey year (Round 0) Survey year (Round 0) Survey year (Round 0) 3098 2019 2019 2019 Rural/Urban Rural/Urban Rural/Urban Rural/Urban Rural/Urban 3078 20 1 2 1 1. RURAL 2 2. URBAN Sysmiss EA Latitude (Modified) EA Latitude (Modified) EA Latitude (Modified) EA Latitude (Modified) EA Latitude (Modified) 3098 * Sysmiss EA Longitude (Modified) EA Longitude (Modified) EA Longitude (Modified) EA Longitude (Modified) EA Longitude (Modified) 3098 * Sysmiss Ownership of dwelling Ownership of dwelling Ownership of dwelling Ownership of dwelling Ownership of dwelling 3098 1 0. NO 1 1. YES Modern roof Modern roof Modern roof Modern roof Modern roof 3098 1 0. NO 1 1. YES Modern floor Modern floor Modern floor Modern floor Modern floor 3098 1 0. NO 1 1. YES Modern exterior walls Modern exterior walls Modern exterior walls Modern exterior walls Modern exterior walls 3098 1 0. NO 1 1. YES Access to improved toilet Access to improved toilet Access to improved toilet Access to improved toilet Access to improved toilet 3098 1 0. NO 1 1. YES Access to improved water source Access to improved water source Access to improved water source Access to improved water source Access to improved water source 3098 1 0. NO 1 1. YES Number of rooms Number of rooms Number of rooms Number of rooms Number of rooms 3063 35 1 13 1 2 3 4 5 6 7 8 9 13 Sysmiss Connection to electricity Connection to electricity Connection to electricity Connection to electricity Connection to electricity 3066 32 1 0. NO 1 1. YES Sysmiss Ownership of television Ownership of television Ownership of television Ownership of television Ownership of television 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of radio Ownership of radio Ownership of radio Ownership of radio Ownership of radio 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of refrigerator Ownership of refrigerator Ownership of refrigerator Ownership of refrigerator Ownership of refrigerator 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of bicycle Ownership of bicycle Ownership of bicycle Ownership of bicycle Ownership of bicycle 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of motorcycle Ownership of motorcycle Ownership of motorcycle Ownership of motorcycle Ownership of motorcycle 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of car or other vehicle Ownership of car or other vehicle Ownership of car or other vehicle Ownership of car or other vehicle Ownership of car or other vehicle 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of mobile phone Ownership of mobile phone Ownership of mobile phone Ownership of mobile phone Ownership of mobile phone 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of computer Ownership of computer Ownership of computer Ownership of computer Ownership of computer 3078 20 1 0. NO 1 1. YES Sysmiss Access to Internet Access to Internet Access to Internet Access to Internet Access to Internet 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of generator Ownership of generator Ownership of generator Ownership of generator Ownership of generator 3078 20 1 0. NO 1 1. YES Sysmiss Ownership of land Ownership of land Ownership of land Ownership of land Ownership of land 3098 1 0. NO 1 1. YES Total land size owned (ha) Total land size owned (ha) Total land size owned (ha) Total land size owned (ha) Total land size owned (ha) 3098 15.1705503463745 Total land size cultivated (ha) Total land size cultivated (ha) Total land size cultivated (ha) Total land size cultivated (ha) Total land size cultivated (ha) 3098 13.4731464385986 Consumption quintile Consumption quintile Consumption quintile Consumption quintile Consumption quintile 3074 24 1 5 1 1. POOREST 2 2. POORER 3 3. MIDDLE 4 4. RICHER 5 5. RICHEST Sysmiss Total annual per capita consumption Total annual per capita consumption Total annual per capita consumption Total annual per capita consumption Total annual per capita consumption 3098 * Sysmiss Total annual per capita food consumption Total annual per capita food consumption Total annual per capita food consumption Total annual per capita food consumption Total annual per capita food consumption 3098 * Sysmiss Total annual per capita non-food consumption Total annual per capita non-food consumption Total annual per capita non-food consumption Total annual per capita non-food consumption Total annual per capita non-food consumption 3098 * Sysmiss Total per capita consumption, spatially and temporally adjusted Total per capita consumption, spatially and temporally adjusted Total per capita consumption, spatially and temporally adjusted Total per capita consumption, spatially and temporally adjusted Total per capita consumption, spatially and temporally adjusted 3098 * Sysmiss Total annual per capita food consumption, spatially and temporally adjusted Total annual per capita food consumption, spatially and temporally adjusted Total annual per capita food consumption, spatially and temporally adjusted Total annual per capita food consumption, spatially and temporally adjusted Total annual per capita food consumption, spatially and temporally adjusted 3098 * Sysmiss Total annual per capita non-food consumption, spatially and temporally adjusted Total annual per capita non-food consumption, spatially and temporally adjusted Total annual per capita non-food consumption, spatially and temporally adjusted Total annual per capita non-food consumption, spatially and temporally adjusted Total annual per capita non-food consumption, spatially and temporally adjusted 3098 * Sysmiss Rental income Rental income Rental income Rental income Rental income 3078 20 1 0. NO 1 1. YES Sysmiss Received remittance Received remittance Received remittance Received remittance Received remittance 3078 20 1 0. NO 1 1. YES Sysmiss Received assistance Received assistance Received assistance Received assistance Received assistance 3078 20 1 0. NO 1 1. YES Sysmiss Account from financial institutions Account from financial institutions Account from financial institutions Account from financial institutions Account from financial institutions 3078 20 1 0. NO 1 1. YES Sysmiss % of working adults working % of working adults working % of working adults working % of working adults working % of working adults working 2908 190 100 14.2857141494751 16.6666660308838 20 22.2222213745117 25 28.5714282989502 33.3333320617676 37.5 40 42.8571434020996 44.4444427490234 50 54.5454559326172 55.5555572509766 57.1428565979004 60 62.5 66.6666641235352 71.4285736083984 72.7272720336914 75 77.7777786254883 80 81.8181838989258 83.3333358764648 85.7142868041992 87.5 100 Sysmiss % of working adults working in agriculture % of working adults working in agriculture % of working adults working in agriculture % of working adults working in agriculture % of working adults working in agriculture 2908 190 100 14.2857141494751 16.6666660308838 20 22.2222213745117 25 28.5714282989502 33.3333320617676 37.5 40 42.8571434020996 44.4444427490234 50 57.1428565979004 60 62.5 66.6666641235352 71.4285736083984 72.7272720336914 75 77.7777786254883 80 81.8181838989258 83.3333358764648 85.7142868041992 87.5 100 Sysmiss % of working adults working in non-farm family enterprise % of working adults working in non-farm family enterprise % of working adults working in non-farm family enterprise % of working adults working in non-farm family enterprise % of working adults working in non-farm family enterprise 2908 190 100 9.09090900421143 11.1111106872559 12.5 14.2857141494751 16.6666660308838 18.1818180084229 20 22.2222213745117 25 28.5714282989502 33.3333320617676 37.5 40 42.8571434020996 50 66.6666641235352 75 100 Sysmiss % of working adults working in wage work % of working adults working in wage work % of working adults working in wage work % of working adults working in wage work % of working adults working in wage work 2908 190 100 10 11.1111106872559 12.5 14.2857141494751 16.6666660308838 20 25 28.5714282989502 33.3333320617676 36.3636360168457 37.5 40 42.8571434020996 50 57.1428565979004 60 66.6666641235352 71.4285736083984 75 80 85.7142868041992 100 Sysmiss Ownership of non-farm family enterprise Ownership of non-farm family enterprise Ownership of non-farm family enterprise Ownership of non-farm family enterprise Ownership of non-farm family enterprise 1628 1470 1 0. NO 1 1. YES Sysmiss Crop cultivation Crop cultivation Crop cultivation Crop cultivation Crop cultivation 3098 1 0. NO 1 1. YES Number of crops cultivated Number of crops cultivated Number of crops cultivated Number of crops cultivated Number of crops cultivated 2214 884 1 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 16 Sysmiss Cash crop cultivation Cash crop cultivation Cash crop cultivation Cash crop cultivation Cash crop cultivation 2214 884 1 0. NO 1 1. YES Sysmiss Use of organic fertilizer Use of organic fertilizer Use of organic fertilizer Use of organic fertilizer Use of organic fertilizer 2241 857 1 0. NO 1 1. YES Sysmiss Use of inorganic fertilizer Use of inorganic fertilizer Use of inorganic fertilizer Use of inorganic fertilizer Use of inorganic fertilizer 2241 857 1 0. NO 1 1. YES Sysmiss Use of pesticides, fungicides or herbicides Use of pesticides, fungicides or herbicides Use of pesticides, fungicides or herbicides Use of pesticides, fungicides or herbicides Use of pesticides, fungicides or herbicides 2241 857 1 0. NO 1 1. YES Sysmiss Use of hired labor Use of hired labor Use of hired labor Use of hired labor Use of hired labor 2428 670 1 0. NO 1 1. YES Sysmiss Use of exchange and/or free labor Use of exchange and/or free labor Use of exchange and/or free labor Use of exchange and/or free labor Use of exchange and/or free labor 2428 670 1 0. NO 1 1. YES Sysmiss Use of hired labor for post-harvest activities Use of hired labor for post-harvest activities Use of hired labor for post-harvest activities Use of hired labor for post-harvest activities Use of hired labor for post-harvest activities 2428 670 1 0. NO 1 1. YES Sysmiss Use of exchange and/or free labor for post-harvest activities Use of exchange and/or free labor for post-harvest activities Use of exchange and/or free labor for post-harvest activities Use of exchange and/or free labor for post-harvest activities Use of exchange and/or free labor for post-harvest activities 2428 670 1 0. NO 1 1. YES Sysmiss Use of tractor Use of tractor Use of tractor Use of tractor Use of tractor 2426 672 1 0. NO 1 1. YES Sysmiss Postharvest crop loss Postharvest crop loss Postharvest crop loss Postharvest crop loss Postharvest crop loss 2341 757 1 0. NO 1 1. YES Sysmiss Sale of crop Sale of crop Sale of crop Sale of crop Sale of crop 2341 757 1 0. NO 1 1. YES Sysmiss Sale of processed crop Sale of processed crop Sale of processed crop Sale of processed crop Sale of processed crop 1546 1552 1 0. NO 1 1. YES Sysmiss Sale of unprocessed crop Sale of unprocessed crop Sale of unprocessed crop Sale of unprocessed crop Sale of unprocessed crop 1546 1552 1 0. NO 1 1. YES Sysmiss Ownership of livestock Ownership of livestock Ownership of livestock Ownership of livestock Ownership of livestock 3098 1 0. NO 1 1. YES Ownership of large ruminant Ownership of large ruminant Ownership of large ruminant Ownership of large ruminant Ownership of large ruminant 3098 1 0. NO 1 1. YES Ownership of small ruminant Ownership of small ruminant Ownership of small ruminant Ownership of small ruminant Ownership of small ruminant 3098 1 0. NO 1 1. YES Ownership of poultry Ownership of poultry Ownership of poultry Ownership of poultry Ownership of poultry 3098 1 0. NO 1 1. YES Ownership of equine Ownership of equine Ownership of equine Ownership of equine Ownership of equine 3098 1 0. NO 1 1. YES Ownership of camelid Ownership of camelid Ownership of camelid Ownership of camelid Ownership of camelid 3098 0. NO 1 1. YES Ownership of pig Ownership of pig Ownership of pig Ownership of pig Ownership of pig 3098 1 0. NO 1 1. YES Ownership of bee colonies Ownership of bee colonies Ownership of bee colonies Ownership of bee colonies Ownership of bee colonies 3098 * 0. NO 1 1. YES Sysmiss Household size (Round 0) Household size (Round 0) Household size (Round 0) Household size (Round 0) Household size (Round 0) 3077 21 1 19 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 19 Sysmiss Number of males aged 0 to 14 (Round 0) Number of males aged 0 to 14 (Round 0) Number of males aged 0 to 14 (Round 0) Number of males aged 0 to 14 (Round 0) Number of males aged 0 to 14 (Round 0) 3077 21 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 15 to 64 (Round 0) Number of males aged 15 to 64 (Round 0) Number of males aged 15 to 64 (Round 0) Number of males aged 15 to 64 (Round 0) Number of males aged 15 to 64 (Round 0) 3077 21 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 65 and above (Round 0) Number of males aged 65 and above (Round 0) Number of males aged 65 and above (Round 0) Number of males aged 65 and above (Round 0) Number of males aged 65 and above (Round 0) 3077 21 2 1 2 Sysmiss Number of females aged 0 to 14 (Round 0) Number of females aged 0 to 14 (Round 0) Number of females aged 0 to 14 (Round 0) Number of females aged 0 to 14 (Round 0) Number of females aged 0 to 14 (Round 0) 3077 21 7 1 2 3 4 5 6 7 Sysmiss Number of females aged 15 to 64 (Round 0) Number of females aged 15 to 64 (Round 0) Number of females aged 15 to 64 (Round 0) Number of females aged 15 to 64 (Round 0) Number of females aged 15 to 64 (Round 0) 3077 21 8 1 2 3 4 5 6 8 Sysmiss Number of females aged 65 and above (Round 0) Number of females aged 65 and above (Round 0) Number of females aged 65 and above (Round 0) Number of females aged 65 and above (Round 0) Number of females aged 65 and above (Round 0) 3077 21 2 1 2 Sysmiss Adult equivalence (Round 0) Adult equivalence (Round 0) Adult equivalence (Round 0) Adult equivalence (Round 0) Adult equivalence (Round 0) 3077 21 0.730000019073486 15.7999999523163 Cross section household weight (Round 0) Cross section household weight (Round 0) Cross section household weight (Round 0) Cross section household weight (Round 0) Cross section household weight (Round 0) 3098 327.732971191406 16057.3994140625 Phone sample Phone sample Phone sample Phone sample Phone sample 3098 1 0. NO 1 1. YES Successfully contacted (Round 1) Successfully contacted (Round 1) Successfully contacted (Round 1) Successfully contacted (Round 1) Successfully contacted (Round 1) 2227 871 1 1 0. NO 1 1. YES Sysmiss Interviewed (Round 1) Interviewed (Round 1) Interviewed (Round 1) Interviewed (Round 1) Interviewed (Round 1) 2227 871 1 1 0. NO 1 1. YES Sysmiss Interview completed (Round 1) Interview completed (Round 1) Interview completed (Round 1) Interview completed (Round 1) Interview completed (Round 1) 2227 871 1 0. NO 1 1. YES Sysmiss Household size (Round 1) Household size (Round 1) Household size (Round 1) Household size (Round 1) Household size (Round 1) 2225 873 1 21 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 21 Sysmiss Number of males aged 0 to 14 (Round 1) Number of males aged 0 to 14 (Round 1) Number of males aged 0 to 14 (Round 1) Number of males aged 0 to 14 (Round 1) Number of males aged 0 to 14 (Round 1) 2225 873 8 1 2 3 4 5 6 8 Sysmiss Number of males aged 15 to 64 (Round 1) Number of males aged 15 to 64 (Round 1) Number of males aged 15 to 64 (Round 1) Number of males aged 15 to 64 (Round 1) Number of males aged 15 to 64 (Round 1) 2225 873 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 65 and above (Round 1) Number of males aged 65 and above (Round 1) Number of males aged 65 and above (Round 1) Number of males aged 65 and above (Round 1) Number of males aged 65 and above (Round 1) 2225 873 2 1 2 Sysmiss Number of females aged 0 to 14 (Round 1) Number of females aged 0 to 14 (Round 1) Number of females aged 0 to 14 (Round 1) Number of females aged 0 to 14 (Round 1) Number of females aged 0 to 14 (Round 1) 2225 873 7 1 2 3 4 5 6 7 Sysmiss Number of females aged 15 to 64 (Round 1) Number of females aged 15 to 64 (Round 1) Number of females aged 15 to 64 (Round 1) Number of females aged 15 to 64 (Round 1) Number of females aged 15 to 64 (Round 1) 2225 873 7 1 2 3 4 5 6 7 Sysmiss Number of females aged 65 and above (Round 1) Number of females aged 65 and above (Round 1) Number of females aged 65 and above (Round 1) Number of females aged 65 and above (Round 1) Number of females aged 65 and above (Round 1) 2225 873 2 1 2 Sysmiss Adult equivalence (Round 1) Adult equivalence (Round 1) Adult equivalence (Round 1) Adult equivalence (Round 1) Adult equivalence (Round 1) 2225 873 0.730000019073486 17.9599999189377 Probability of being moderately/severely food insecure >= 50% (Round 1) Probability of being moderately/severely food insecure >= 50% (Round 1) Probability of being moderately/severely food insecure >= 50% (Round 1) Probability of being moderately/severely food insecure >= 50% (Round 1) Probability of being moderately/severely food insecure >= 50% (Round 1) 2225 873 1 0. NO 1 1. YES Sysmiss Probability of being severely food insecure >= 50% (Round 1) Probability of being severely food insecure >= 50% (Round 1) Probability of being severely food insecure >= 50% (Round 1) Probability of being severely food insecure >= 50% (Round 1) Probability of being severely food insecure >= 50% (Round 1) 2225 873 1 0. NO 1 1. YES Sysmiss Household head changed (Round 1) Household head changed (Round 1) Household head changed (Round 1) Household head changed (Round 1) Household head changed (Round 1) 2225 873 1 0. NO 1 1. YES Sysmiss Cross section household weight (Round 1) Cross section household weight (Round 1) Cross section household weight (Round 1) Cross section household weight (Round 1) Cross section household weight (Round 1) 2227 871 639.546752929688 17508.17578125 Successfully contacted (Round 2) Successfully contacted (Round 2) Successfully contacted (Round 2) Successfully contacted (Round 2) Successfully contacted (Round 2) 2269 829 1 0. NO 1 1. YES Sysmiss Interviewed (Round 2) Interviewed (Round 2) Interviewed (Round 2) Interviewed (Round 2) Interviewed (Round 2) 2199 899 1 1 0. NO 1 1. YES Sysmiss Interview completed (Round 2) Interview completed (Round 2) Interview completed (Round 2) Interview completed (Round 2) Interview completed (Round 2) 2199 899 1 0. NO 1 1. YES Sysmiss Household size (Round 2) Household size (Round 2) Household size (Round 2) Household size (Round 2) Household size (Round 2) 2197 901 1 21 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 21 Sysmiss Number of males aged 0 to 14 (Round 2) Number of males aged 0 to 14 (Round 2) Number of males aged 0 to 14 (Round 2) Number of males aged 0 to 14 (Round 2) Number of males aged 0 to 14 (Round 2) 2197 901 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 15 to 64 (Round 2) Number of males aged 15 to 64 (Round 2) Number of males aged 15 to 64 (Round 2) Number of males aged 15 to 64 (Round 2) Number of males aged 15 to 64 (Round 2) 2197 901 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 65 and above (Round 2) Number of males aged 65 and above (Round 2) Number of males aged 65 and above (Round 2) Number of males aged 65 and above (Round 2) Number of males aged 65 and above (Round 2) 2197 901 2 1 2 Sysmiss Number of females aged 0 to 14 (Round 2) Number of females aged 0 to 14 (Round 2) Number of females aged 0 to 14 (Round 2) Number of females aged 0 to 14 (Round 2) Number of females aged 0 to 14 (Round 2) 2197 901 8 1 2 3 4 5 6 7 8 Sysmiss Number of females aged 15 to 64 (Round 2) Number of females aged 15 to 64 (Round 2) Number of females aged 15 to 64 (Round 2) Number of females aged 15 to 64 (Round 2) Number of females aged 15 to 64 (Round 2) 2197 901 7 1 2 3 4 5 6 7 Sysmiss Number of females aged 65 and above (Round 2) Number of females aged 65 and above (Round 2) Number of females aged 65 and above (Round 2) Number of females aged 65 and above (Round 2) Number of females aged 65 and above (Round 2) 2197 901 2 1 2 Sysmiss Adult equivalence (Round 2) Adult equivalence (Round 2) Adult equivalence (Round 2) Adult equivalence (Round 2) Adult equivalence (Round 2) 2197 901 0.730000019073486 17.9599999189377 Probability of being moderately/severely food insecure >= 50% (Round 2) Probability of being moderately/severely food insecure >= 50% (Round 2) Probability of being moderately/severely food insecure >= 50% (Round 2) Probability of being moderately/severely food insecure >= 50% (Round 2) Probability of being moderately/severely food insecure >= 50% (Round 2) 2196 902 1 0. NO 1 1. YES Sysmiss Probability of being severely food insecure >= 50% (Round 2) Probability of being severely food insecure >= 50% (Round 2) Probability of being severely food insecure >= 50% (Round 2) Probability of being severely food insecure >= 50% (Round 2) Probability of being severely food insecure >= 50% (Round 2) 2196 902 1 0. NO 1 1. YES Sysmiss Household head changed (Round 2) Household head changed (Round 2) Household head changed (Round 2) Household head changed (Round 2) Household head changed (Round 2) 2197 901 1 0. NO 1 1. YES Sysmiss Respondent changed (Round 2) Respondent changed (Round 2) Respondent changed (Round 2) Respondent changed (Round 2) Respondent changed (Round 2) 2153 945 1 0. NO 1 1. YES Sysmiss Cross section household weight (Round 2) Cross section household weight (Round 2) Cross section household weight (Round 2) Cross section household weight (Round 2) Cross section household weight (Round 2) 2199 899 613.946166992188 17403.08984375 Successfully contacted (Round 3) Successfully contacted (Round 3) Successfully contacted (Round 3) Successfully contacted (Round 3) Successfully contacted (Round 3) 2272 826 1 0. NO 1 1. YES Sysmiss Interviewed (Round 3) Interviewed (Round 3) Interviewed (Round 3) Interviewed (Round 3) Interviewed (Round 3) 2147 951 1 1 0. NO 1 1. YES Sysmiss Interview completed (Round 3) Interview completed (Round 3) Interview completed (Round 3) Interview completed (Round 3) Interview completed (Round 3) 2147 951 1 0. NO 1 1. YES Sysmiss Household size (Round 3) Household size (Round 3) Household size (Round 3) Household size (Round 3) Household size (Round 3) 2145 953 1 21 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 21 Sysmiss Number of males aged 0 to 14 (Round 3) Number of males aged 0 to 14 (Round 3) Number of males aged 0 to 14 (Round 3) Number of males aged 0 to 14 (Round 3) Number of males aged 0 to 14 (Round 3) 2145 953 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 15 to 64 (Round 3) Number of males aged 15 to 64 (Round 3) Number of males aged 15 to 64 (Round 3) Number of males aged 15 to 64 (Round 3) Number of males aged 15 to 64 (Round 3) 2145 953 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 65 and above (Round 3) Number of males aged 65 and above (Round 3) Number of males aged 65 and above (Round 3) Number of males aged 65 and above (Round 3) Number of males aged 65 and above (Round 3) 2145 953 2 1 2 Sysmiss Number of females aged 0 to 14 (Round 3) Number of females aged 0 to 14 (Round 3) Number of females aged 0 to 14 (Round 3) Number of females aged 0 to 14 (Round 3) Number of females aged 0 to 14 (Round 3) 2145 953 8 1 2 3 4 5 6 7 8 Sysmiss Number of females aged 15 to 64 (Round 3) Number of females aged 15 to 64 (Round 3) Number of females aged 15 to 64 (Round 3) Number of females aged 15 to 64 (Round 3) Number of females aged 15 to 64 (Round 3) 2145 953 7 1 2 3 4 5 6 7 Sysmiss Number of females aged 65 and above (Round 3) Number of females aged 65 and above (Round 3) Number of females aged 65 and above (Round 3) Number of females aged 65 and above (Round 3) Number of females aged 65 and above (Round 3) 2145 953 2 1 2 Sysmiss Adult equivalence (Round 3) Adult equivalence (Round 3) Adult equivalence (Round 3) Adult equivalence (Round 3) Adult equivalence (Round 3) 2145 953 0.730000019073486 17.9599999189377 Probability of being moderately/severely food insecure >= 50% (Round 3) Probability of being moderately/severely food insecure >= 50% (Round 3) Probability of being moderately/severely food insecure >= 50% (Round 3) Probability of being moderately/severely food insecure >= 50% (Round 3) Probability of being moderately/severely food insecure >= 50% (Round 3) 2145 953 1 0. NO 1 1. YES Sysmiss Probability of being severely food insecure >= 50% (Round 3) Probability of being severely food insecure >= 50% (Round 3) Probability of being severely food insecure >= 50% (Round 3) Probability of being severely food insecure >= 50% (Round 3) Probability of being severely food insecure >= 50% (Round 3) 2145 953 1 0. NO 1 1. YES Sysmiss Household head changed (Round 3) Household head changed (Round 3) Household head changed (Round 3) Household head changed (Round 3) Household head changed (Round 3) 2145 953 1 0. NO 1 1. YES Sysmiss Respondent changed (Round 3) Respondent changed (Round 3) Respondent changed (Round 3) Respondent changed (Round 3) Respondent changed (Round 3) 2137 961 1 0. NO 1 1. YES Sysmiss Cross section household weight (Round 3) Cross section household weight (Round 3) Cross section household weight (Round 3) Cross section household weight (Round 3) Cross section household weight (Round 3) 2147 951 613.603454589844 18778.384765625 Panel household weight (Round 3) Panel household weight (Round 3) Panel household weight (Round 3) Panel household weight (Round 3) Panel household weight (Round 3) 3098 * Sysmiss Successfully contacted (Round 4) Successfully contacted (Round 4) Successfully contacted (Round 4) Successfully contacted (Round 4) Successfully contacted (Round 4) 2269 829 1 0. NO 1 1. YES Sysmiss Interviewed (Round 4) Interviewed (Round 4) Interviewed (Round 4) Interviewed (Round 4) Interviewed (Round 4) 2136 962 1 1 0. NO 1 1. YES Sysmiss Interview completed (Round 4) Interview completed (Round 4) Interview completed (Round 4) Interview completed (Round 4) Interview completed (Round 4) 2136 962 1 0. NO 1 1. YES Sysmiss Household size (Round 4) Household size (Round 4) Household size (Round 4) Household size (Round 4) Household size (Round 4) 2131 967 1 21 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 21 Sysmiss Number of males aged 0 to 14 (Round 4) Number of males aged 0 to 14 (Round 4) Number of males aged 0 to 14 (Round 4) Number of males aged 0 to 14 (Round 4) Number of males aged 0 to 14 (Round 4) 2131 967 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 15 to 64 (Round 4) Number of males aged 15 to 64 (Round 4) Number of males aged 15 to 64 (Round 4) Number of males aged 15 to 64 (Round 4) Number of males aged 15 to 64 (Round 4) 2131 967 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 65 and above (Round 4) Number of males aged 65 and above (Round 4) Number of males aged 65 and above (Round 4) Number of males aged 65 and above (Round 4) Number of males aged 65 and above (Round 4) 2131 967 2 1 2 Sysmiss Number of females aged 0 to 14 (Round 4) Number of females aged 0 to 14 (Round 4) Number of females aged 0 to 14 (Round 4) Number of females aged 0 to 14 (Round 4) Number of females aged 0 to 14 (Round 4) 2131 967 8 1 2 3 4 5 6 7 8 Sysmiss Number of females aged 15 to 64 (Round 4) Number of females aged 15 to 64 (Round 4) Number of females aged 15 to 64 (Round 4) Number of females aged 15 to 64 (Round 4) Number of females aged 15 to 64 (Round 4) 2131 967 7 1 2 3 4 5 6 7 Sysmiss Number of females aged 65 and above (Round 4) Number of females aged 65 and above (Round 4) Number of females aged 65 and above (Round 4) Number of females aged 65 and above (Round 4) Number of females aged 65 and above (Round 4) 2131 967 2 1 2 Sysmiss Adult equivalence (Round 4) Adult equivalence (Round 4) Adult equivalence (Round 4) Adult equivalence (Round 4) Adult equivalence (Round 4) 2131 967 0.730000019073486 17.9599999189377 Probability of being moderately/severely food insecure >= 50% (Round 4) Probability of being moderately/severely food insecure >= 50% (Round 4) Probability of being moderately/severely food insecure >= 50% (Round 4) Probability of being moderately/severely food insecure >= 50% (Round 4) Probability of being moderately/severely food insecure >= 50% (Round 4) 2072 1026 1 0. NO 1 1. YES Sysmiss Probability of being severely food insecure >= 50% (Round 4) Probability of being severely food insecure >= 50% (Round 4) Probability of being severely food insecure >= 50% (Round 4) Probability of being severely food insecure >= 50% (Round 4) Probability of being severely food insecure >= 50% (Round 4) 2072 1026 1 0. NO 1 1. YES Sysmiss Household head changed (Round 4) Household head changed (Round 4) Household head changed (Round 4) Household head changed (Round 4) Household head changed (Round 4) 2131 967 1 0. NO 1 1. YES Sysmiss Respondent changed (Round 4) Respondent changed (Round 4) Respondent changed (Round 4) Respondent changed (Round 4) Respondent changed (Round 4) 2131 967 1 0. NO 1 1. YES Sysmiss Cross section household weight (Round 4) Cross section household weight (Round 4) Cross section household weight (Round 4) Cross section household weight (Round 4) Cross section household weight (Round 4) 2073 1025 602.004211425781 17903.927734375 Panel household weight (Round 4) Panel household weight (Round 4) Panel household weight (Round 4) Panel household weight (Round 4) Panel household weight (Round 4) 3098 * Sysmiss Successfully contacted (Round 5) Successfully contacted (Round 5) Successfully contacted (Round 5) Successfully contacted (Round 5) Successfully contacted (Round 5) 2271 827 1 0. NO 1 1. YES Sysmiss Interviewed (Round 5) Interviewed (Round 5) Interviewed (Round 5) Interviewed (Round 5) Interviewed (Round 5) 2122 976 1 1 0. NO 1 1. YES Sysmiss Interview completed (Round 5) Interview completed (Round 5) Interview completed (Round 5) Interview completed (Round 5) Interview completed (Round 5) 2122 976 1 0. NO 1 1. YES Sysmiss Household size (Round 5) Household size (Round 5) Household size (Round 5) Household size (Round 5) Household size (Round 5) 2121 977 1 21 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 21 Sysmiss Number of males aged 0 to 14 (Round 5) Number of males aged 0 to 14 (Round 5) Number of males aged 0 to 14 (Round 5) Number of males aged 0 to 14 (Round 5) Number of males aged 0 to 14 (Round 5) 2121 977 7 1 2 3 4 5 6 7 Sysmiss Number of males aged 15 to 64 (Round 5) Number of males aged 15 to 64 (Round 5) Number of males aged 15 to 64 (Round 5) Number of males aged 15 to 64 (Round 5) Number of males aged 15 to 64 (Round 5) 2121 977 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 65 and above (Round 5) Number of males aged 65 and above (Round 5) Number of males aged 65 and above (Round 5) Number of males aged 65 and above (Round 5) Number of males aged 65 and above (Round 5) 2121 977 2 1 2 Sysmiss Number of females aged 0 to 14 (Round 5) Number of females aged 0 to 14 (Round 5) Number of females aged 0 to 14 (Round 5) Number of females aged 0 to 14 (Round 5) Number of females aged 0 to 14 (Round 5) 2121 977 8 1 2 3 4 5 6 7 8 Sysmiss Number of females aged 15 to 64 (Round 5) Number of females aged 15 to 64 (Round 5) Number of females aged 15 to 64 (Round 5) Number of females aged 15 to 64 (Round 5) Number of females aged 15 to 64 (Round 5) 2121 977 8 1 2 3 4 5 6 7 8 Sysmiss Number of females aged 65 and above (Round 5) Number of females aged 65 and above (Round 5) Number of females aged 65 and above (Round 5) Number of females aged 65 and above (Round 5) Number of females aged 65 and above (Round 5) 2121 977 2 1 2 Sysmiss Adult equivalence (Round 5) Adult equivalence (Round 5) Adult equivalence (Round 5) Adult equivalence (Round 5) Adult equivalence (Round 5) 2121 977 0.730000019073486 17.9599999189377 Household head changed (Round 5) Household head changed (Round 5) Household head changed (Round 5) Household head changed (Round 5) Household head changed (Round 5) 2121 977 1 0. NO 1 1. YES Sysmiss Probability of being moderately/severely food insecure >= 50% (Round 5) Probability of being moderately/severely food insecure >= 50% (Round 5) Probability of being moderately/severely food insecure >= 50% (Round 5) Probability of being moderately/severely food insecure >= 50% (Round 5) Probability of being moderately/severely food insecure >= 50% (Round 5) 2121 977 1 0. NO 1 1. YES Sysmiss Probability of being severely food insecure >= 50% (Round 5) Probability of being severely food insecure >= 50% (Round 5) Probability of being severely food insecure >= 50% (Round 5) Probability of being severely food insecure >= 50% (Round 5) Probability of being severely food insecure >= 50% (Round 5) 2121 977 1 0. NO 1 1. YES Sysmiss Respondent changed (Round 5) Respondent changed (Round 5) Respondent changed (Round 5) Respondent changed (Round 5) Respondent changed (Round 5) 2115 983 1 0. NO 1 1. YES Sysmiss Cross section household weight (Round 5) Cross section household weight (Round 5) Cross section household weight (Round 5) Cross section household weight (Round 5) Cross section household weight (Round 5) 2122 976 626.875305175781 18460.37109375 Panel household weight (Round 5) Panel household weight (Round 5) Panel household weight (Round 5) Panel household weight (Round 5) Panel household weight (Round 5) 3098 * Sysmiss Successfully contacted (Round 6) Successfully contacted (Round 6) Successfully contacted (Round 6) Successfully contacted (Round 6) Successfully contacted (Round 6) 2277 821 1 0. NO 1 1. YES Sysmiss Interviewed (Round 6) Interviewed (Round 6) Interviewed (Round 6) Interviewed (Round 6) Interviewed (Round 6) 2099 999 1 1 0. NO 1 1. YES Sysmiss Interview completed (Round 6) Interview completed (Round 6) Interview completed (Round 6) Interview completed (Round 6) Interview completed (Round 6) 2099 999 1 1 0. NO 1 1. YES Sysmiss Household size (Round 6) Household size (Round 6) Household size (Round 6) Household size (Round 6) Household size (Round 6) 2099 999 1 21 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 21 Sysmiss Number of males aged 0 to 14 (Round 6) Number of males aged 0 to 14 (Round 6) Number of males aged 0 to 14 (Round 6) Number of males aged 0 to 14 (Round 6) Number of males aged 0 to 14 (Round 6) 2099 999 7 1 2 3 4 5 6 7 Sysmiss Number of males aged 15 to 64 (Round 6) Number of males aged 15 to 64 (Round 6) Number of males aged 15 to 64 (Round 6) Number of males aged 15 to 64 (Round 6) Number of males aged 15 to 64 (Round 6) 2099 999 8 1 2 3 4 5 6 7 8 Sysmiss Number of males aged 65 and above (Round 6) Number of males aged 65 and above (Round 6) Number of males aged 65 and above (Round 6) Number of males aged 65 and above (Round 6) Number of males aged 65 and above (Round 6) 2099 999 2 1 2 Sysmiss Number of females aged 0 to 14 (Round 6) Number of females aged 0 to 14 (Round 6) Number of females aged 0 to 14 (Round 6) Number of females aged 0 to 14 (Round 6) Number of females aged 0 to 14 (Round 6) 2099 999 8 1 2 3 4 5 6 7 8 Sysmiss Number of females aged 15 to 64 (Round 6) Number of females aged 15 to 64 (Round 6) Number of females aged 15 to 64 (Round 6) Number of females aged 15 to 64 (Round 6) Number of females aged 15 to 64 (Round 6) 2099 999 8 1 2 3 4 5 6 8 Sysmiss Number of females aged 65 and above (Round 6) Number of females aged 65 and above (Round 6) Number of females aged 65 and above (Round 6) Number of females aged 65 and above (Round 6) Number of females aged 65 and above (Round 6) 2099 999 3 1 2 3 Sysmiss Adult equivalence (Round 6) Adult equivalence (Round 6) Adult equivalence (Round 6) Adult equivalence (Round 6) Adult equivalence (Round 6) 2099 999 0.730000019073486 17.9599999189377 Household head changed (Round 6) Household head changed (Round 6) Household head changed (Round 6) Household head changed (Round 6) Household head changed (Round 6) 2099 999 1 0. NO 1 1. YES Sysmiss Probability of being moderately/severely food insecure >= 50% (Round 6) Probability of being moderately/severely food insecure >= 50% (Round 6) Probability of being moderately/severely food insecure >= 50% (Round 6) Probability of being moderately/severely food insecure >= 50% (Round 6) Probability of being moderately/severely food insecure >= 50% (Round 6) 2099 999 1 0. NO 1 1. YES Sysmiss Probability of being severely food insecure >= 50% (Round 6) Probability of being severely food insecure >= 50% (Round 6) Probability of being severely food insecure >= 50% (Round 6) Probability of being severely food insecure >= 50% (Round 6) Probability of being severely food insecure >= 50% (Round 6) 2099 999 1 0. NO 1 1. YES Sysmiss Respondent changed (Round 6) Respondent changed (Round 6) Respondent changed (Round 6) Respondent changed (Round 6) Respondent changed (Round 6) 2093 1005 1 0. NO 1 1. YES Sysmiss Cross section household weight (Round 6) Cross section household weight (Round 6) Cross section household weight (Round 6) Cross section household weight (Round 6) Cross section household weight (Round 6) 2099 999 622.903381347656 18754.099609375 Panel household weight (Round 6) Panel household weight (Round 6) Panel household weight (Round 6) Panel household weight (Round 6) Panel household weight (Round 6) 3098 * Sysmiss