DDI_KIR_2006_HIES_v01_M Secretariat of the Pacific Community 2008-12-02 NADA Version 01 (September 2012) - Adapted version of the DDI "DDI-KIR-KIRNSO-HIES-2006-v1" documented by Secretariat of the Pacific Community in December 2008. Household Income and Expenditure Survey 2006 HIES 2006 KIR_2006_HIES_v01_M National Statistical Office Secretariat of the Pacific Community c 2006 Kiribati National Statistics Office NADA Kiribati Ministry of Finance Asian Development Bank Government Statistician Income/Expenditure/Household Survey [hh/ies] The 2006 Kiribati HIES is the second HIES survey conducted in the country. It was funded by ADB and TA provided by SPC.The survey included modules on personal and household income, household expenditure and diary information. v0.1 Unedit data from CSPRO test documentation The purpose of the HIES survey is to obtain information on the income, consumption pattern, incidence of poverty, and saving propensities for different groups of people in Kiribati. This information will be used to guide policy makers in framing socio-economic developmental policies and in initiating financial measures for improving economic conditions of the people. Some more specific outputs from the survey are listed below: a) To obtain expenditure weights and other useful data for the revision of the consumer price index; b) To supplement the data available for use in compiling official estimates of household accounts in the systems of national accounts; c) To supply basic data needed for policy making in connection with social and economic planning; d) To provide data for assessing the impact on household living conditions of existing or proposed economic and social measures, particularly changes in the structure of household expenditures and in household consumption; e) To gather information on poverty lines and incidence of poverty throughout Kiribati. Kiribati National coverage and Regional Island Groups (Northern Gilberts, South Tarawa, Central Giberts, Southern Gilberts, Linix). There are five main populations of interest for which estimates are required for the 2006 Kiribati HIES: South Tarawa, Northern, Central and Southern Gilbert Islands, and the Line Islands. - Household - Individual - Consumption expenditure item The survey coverage included only persons living in private households during the month of October 2006. Persons living in institutions, such as school dormitories, hospital wards, hostels, prisons, as well as those households which had temporarily vacated their dwellings to attend cultural events were excluded from the survey. Also excluded from the survey were ex-patriot temporary residents and permanent residents who were not residing (and intending to reside) in Kiribati for at least 12 months. Income data were collected from persons aged 15 years and over and expenditure data from obtained from all household members at a household level. Sample survey data [ssd] The 2006 Kiribati Household Income and Expenditure Survey covered the following: PERSONS: Income and employment of individuals, including wage and salaries, self-employment, business activities HOUSEHOLDS: Dwelling characteristics, housing expenditure, household operations, clothing and footwear, education and health expenditure, and food expenditure. EXPENDITURE ITEMS: Total annual expenditure on commodity and utility items, type of expenditure and type of item. National Statistics Office Sample Size In determining an appropriate sample size for a survey of this nature, numerous factors come into the equation. These include: a) The degree of accuracy required for key estimates b) The population size of the country c) The manner in which the sample is selected d) Cost or staffing constraints which may exist e) Whether or not estimates are required for sub-populations f) The level of variability in the data being collected Each of these factors have different magnitudes of importance, but the major priority should always be on selecting a sample big enough to produce results of suitable accuracy. Many of these issues are generally known as well - for instance: · A user group may pre-specify what level of accuracy they may wish to achieve for the survey · The population of a country can normally be estimated to a reasonable level of accuracy · The sample selection technique adopted is known · Cost and staff constraints are generally known, and · A user group can once again provide information on whether estimates for sub-populations are required. The one thing that normally isn't known is the degree of variability in the data being collected - this information comes after the survey. This factor is important because if there is not much variability in the data for key estimates, then the sample size does not need to be as large, and vice versa. Without this sort of information, determining the appropriate sample size for a survey can often involve a bit of guess work. For that reason, based on previous survey experience in other Pacific Island countries, a sample of 10 per cent was considered more than sufficient for Kiribati. An additional 10 per cent of sample was selected to allow for sample loss. As a result, a sample size of 1,555 households (10 per cent of 13,999, with a 10 per cent top-up) was considered suitable for the survey. Allocation to "Target Areas" For the Kiribati HIES, five target areas were identified as sub-populations for which estimates would be desirable. These five areas were: 1) South Tarawa 2) Northern Gilbert 3) Central Gilbert 4) Southern Gilbert 5) Line/Phoenix Islands Once the sample size of 1,555 had been determined, the next step was determining how the sample should be allocated to each of these target areas in order to produce the required level of accuracy for each area. In order to achieve this, the sample was allocated in such a manner that the expected level of accuracy for each stratum would be similar. The resulting sample allocation can be found in the table below. Stratification To achieve better representation within each target group, each target group was further stratified by grouping "like" islands. The plan from there was to select an island from each stratum to represent it. As a result, 11 strata were formed, with each of the 23 populated island/atolls of Kiribati allocated to one of these strata. The resulting strata, and islands which make them up, can be found in the following table. The allocation of the sample to stratum within each target group was achieved by simply allocating the sample proportional to the population for that stratum. For example, for the target group Northern Gilbert, an overall sample size of 323 was desirable. To determine how much of that sample would be allocated to the first stratum which consisted of Makin and Butaritari, the following formula was applied: n (Makin & Butaritari)= 323 * (889)/(889+1290+867)= 94 Excluded Areas Although it would be desirable to cover all of Kiribati for this survey, due to cost and time constraints a couple of areas were excluded from the frame before the selections were made. The two areas removed from scope were: · Banaba · Kanton The impact on final estimates is considered to be very small given the small populations on these two islands; 61 households on Banaba, and 9 households on Kanton. This accounts for about 0.5 per cent of the population of Kiribati. Sample Selection Technique Selection of Islands For the stratum with more than one island, an island had to be selected in order to represent that stratum. The process used for this stage of selection was probability proportional to size (pps) sampling, where the size measure was the number of households on the island. An example of how this process worked can be found below for the Central Gilbert - Group 2. For this stratum, a random number was selected between 0 and 1,005. Given the random number (254), fell within the cumulative number of households for Abemama, then that island was selected. Selection of Households To minimize the travel requirements of interviewers, and thus travel costs, a two stage process was adopted to selected households. The first stage of the process involved selecting EAs using probability proportional to size (pps) sampling. The required number of EAs to select from each island was simply determined by dividing the number of households to sample on that island by roughly 15, where 15 was the cluster size chosen from each selected EA. Having selected the EAs in sample, a systematic skip was run through the list of households for each EA to determine which households would be selected in sample. These selections were performed in the NSO, and the lists provided to interviewers in the field. The lists used for this stage of selection were based on the 2005 Population Census, and thus would be out-of-date by a year or so, but given the significant gains in simplifying field logistics, this was the preferred option. The population estimates produced by the survey represented almost all of the islands of Kiribati with the exception of Banaba and Kanton, which due to their remoteness and small population, were considered out of scope for the survey (they only contribute 0.5% to the total household population of Kiribati). Face-to-face [f2f] Household Control Form The Household Control Form (HCF) should be filled in during the first visit to the household. Its main objective is to collect basic demographic information about members of the household. Before completing this form however, the interviewer needs to determine if the household is in scope for the survey. Only those households which have been residing in Kiribati for more than 1 year, or those households who intend to reside in Kiribati for a total of 12 months or more, should complete this form and partake in the survey. These households can be identified by going through section (e) in the field book for interviewers. If the household does not meet these criteria, then the survey is over. In assessing the eligibility of a household to be in the survey, use some common sense - there will be many occasions when it will be clear that the household has always lived in Kiribati, so don't bother asking these questions. Once this issue has been addressed, the HCF can be filled in for the household. The HCF form is to record names of all the usual members of the household. Information on relationship to head of household, sex, date of birth and ethnicity are asked of all members in the household. For persons aged 15 and over, questions on marital status, educational attainment, activity status, literacy status and internet usage are also asked. Codes should be used to complete these questions, and they can be found in the interviewer's field book in section (a). You must enter the code for these questions. Expenditure questionnaire The purpose of this questionnaire is to record household expenditure that is not included in the diary. There are some big purchases that the household may only make once or twice a year. Also the household may make regular payments, which may not be done during the survey period, and we would need to know such payments to produce good and complete estimates. There are 15 sections in the Expenditure Questionnaire which relate to the following: 1. Dwelling tenure; 2. Mortgages and loans for purchase of dwellings; 3. Insurance policies; 4. Construction of new dwellings; 5. Major home improvement; 6. Household operations; 7. Transportation; 8. Overseas and domestic travel; 9. Education, recreation, sport and culture; 10. Loans; 11. Contribution to benefit schemes; 12. Medical and health services; 13. Miscellaneous payments; 14. Agricultural assets Detailed instructions for each section are not provided here as they can be found in the questionnaire itself on the left hand side of the booklet. Income questionnaire This questionnaire is to record the household's total income received or earned in the last 12 months. Information will be collected for all usual members of the household who are 15 years and over. Visitors are not to include their income earned in this section. There are 7 sections in the Income Questionnaire which relate to the following: 1. Working for wage and/or salary; 2. Agriculture, livestock, fishing and other sales; 3. Other self employed and business operations; 4. Previous jobs held in the last 12 months; 5. Services provided to other private households; 6. Welfare benefits/allowances; 7. Other income, including remittances Detailed instructions for each section are not provided here as they can be found in the questionnaire itself on the left hand side of the booklet. Weekly Diary For each household observed, there will be two books, one for the first week and one for the second week. This is to keep a record of all daily expenditure for the 14 days. Interviewers have to make sure that these diaries are being kept for each day. Instructions on how to use the diary have been written on the front pages of these diaries. In normal circumstances, the head of household organises the household activity. In some households this may not be the case - some members of that particular household may not be seeking the authority of the head when some expenditure is encountered. This situation may result in not recording all expenditure in the diary. The interviewer should discuss the matter with the head of the household to ensure that each member's expenditure is recorded in the household diary. If a member of the household does not co-operate with the head of the household he/she may be allocated a separate diary. That member of the household should be explained the full responsibility of recording the diary. There are 4 main sections making up each weekly diary: 1) Items bought; 2) Consumption of home produced commodities; 3) Gifts of cash or goods; 4) Winnings from gambling In general, ask the household head to make a note of any problems encountered in filling out this diary. The interviewer can then address these issues upon their next visit. Items bought This is the first section for each day's entry, and is used for recording all items bought in a store, street vendor, or any other place. Each household is required to write down everything they bought, whether paid by cash, cheque or on credit. If you have not purchased anything for that day, or consumed any of your own produce, place a tick inside the circle at the top of that day's page to indicate it hasn't been missed. Special instructions have been included for some items due to the tricky nature of recording their expenditure. These items include meals at restaurants, drinks at a bar, donations to the church, children's pocket money, etc. Encourage the household head to read through these cases before proceeding to fill out the diary each day. Four pieces of information are required for each entry: · Quantity bought; · Weight (if applicable); · Full description of item; · Amount paid or charged Consumption of home produced commodities This is the second section for each day's entry, and is used for recording all home produced commodities consumed on that day. Once again 4 pieces of information are required for each entry: · Quantity consumed; · Weight (if applicable); · Description of item; · Cost of buying the same thing at the local shop/market Make sure only home produced commodities are recorded in this section. This section is generally the most under-reported section of the survey so it is extremely important to continually check with a household that this area is being filled out correctly each day. This is particularly the case in the rural areas where a large amount of consumption of home produce should be taking place. Gifts of cash or goods This section is located at the back of the diary and aims to collect 4 bits of information: · Cash given away; · Goods given away; · Gifts of cash received; · Goods received Cash given away: Includes monetary gifts given to someone outside the household. Include the day, amount, to whom it was given and where they live. Goods given away: Includes non-monetary gifts given to someone outside the household. Include the day, quantity, weight, description of good, estimated value, to whom it was given and where they live. Gifts of cash received: Includes monetary gifts received by a member of the household from someone outside the household. Include the day, amount, from whom it was received and where they live. Goods received: Includes any non-monetary gift received by a member of the household from someone outside the household. Include the day, quantity, weight, description of good, estimated value, from whom it was received and where they live. At the time when any of these transactions take place, the entry should be made in the appropriate place at the end of the diary. Winnings from gambling This is the final section of the diary and includes money won from any form of gambling. In the table provided, include the day, type of betting and amount won. Fieldwork The field activities are the most important stage of the survey. The identification of the households and the arrangement of the visiting periods are important to ensure that the objectives of the survey are met and that errors which occur in the field, can be corrected and handled without further cost. Each household will be observed for a period of 2 weeks and questions will be asked of their expenditure and income for the last 12 months. Interviewing households on Sundays are discouraged and also Saturdays if the household members are Seventh Day Adventists. A calendar of activity has been included in the two field books. Identifying selected households The first task an interviewer needs to undertake for each workload is to familiarise themselves with the households selected in the workload. Quite often the interviewer will know the household in advance, before even visiting the location, so these households will be straight forward. For the remaining households, of which there will be few, the interviewer may be required to ask assistance from people in the area to help assist finding the right household. It is very important to go to the households that have been selected in the survey for you to enumerate, and thus not change any of these selections. If you are having trouble locating any household, you can always call on the assistance of both your supervisor and the NSO. This should be done as early as possible in the process to give time to the supervisor/NSO to provide the required assistance. To supervise in accordance with the directions of the Statistics Office staff, the completion of the HIES 2006 for all selections, specifically to: a) With assistance from the Island Council, undertake the recruitment of interviewers on their respective islands; b) Ensure that all schedules and materials are distributed to interviewers according to the instructions of the NSO staff; c) Ensure that the interviewers understand which household he/she is responsible for and that none are left out; d) With assistance from the interviewer, conduct information sessions for selected households prior to collecting information from those households; e) Visit interviewers regularly during the collection phase to make sure they are carrying out their responsibilities correctly; f) Make sure all forms from the interviewers are accounted for at the end of each 3 week period; g) Do spot checks for completeness of questionnaires and deal with any problems that might arise in the field; h) Dispatch all completed questionnaires (in sealed envelopes) to the NSO after he/she is fully satisfied that (i) All the entries of the questionnaires are properly completed Sample weights were calculated for each stratum and adjusted for non-response. Full details in external resources HIES Data Editing There are five types of checks performed: Structural check, Verification check, Consistency check, Macro Editing check, Data Quality assessment Edit lists have been produced for health module, income and expenditure questionnaire which need to been checked against the questionnaires. On the edit list correct the error by crossing out the incorrect or missing value and enter the correct value in red. Missing amounts that are also missing on the questionnaire will need to be estimated using estimates from questionnaires in the same EA batch. For the diaries, concatenate the batch files for each province and export to tab delimited files. Import into Excel and calculate unit price for each item using quantities and weights where possible. Filter records for each item code and check for outlier unit price values (both large and small values as well as missing values). Missing amounts will need to be estimated using average prices from the items within the same EA. The response rate was 85.6% of the total number of households 1,555. The quality of data obtained through a household survey is subject to both sampling and nonsampling error. Both types of error can be assessed using statistical measures and the level of error reported in a data quality evaluation. It should be noted that the analysis of the data contained in this report is based on a sample of households and therefore the estimates produced are subject to sampling error. It is anticipated that the relative standard error for the key estimates of total household income and expenditure will be less than five percent, which is the level at which the estimates are considered to reliable. Standard errors for the key estimates will be calculated and included in the final report. A total of 1161 households out of 1546 selected fully responded to the survey, representing an overall response rate of 75 percent. Of the non-responding households, 8.2% refused to respond to questions, 5.3% were not able to be contacted, 9.1% were vacant dwellings, and 2.3% were out of scope for the survey. Lower responses rates (less than 70%) were obtained from Nonouti, North and South Tarawa than in the other surveyed islands. However, the response rate for each island group (apart from South Tarawa) was above the total response rate of 75%, indicating a very good level of response. Table 1.2 shows the number and percentage of responding households by island. Sampling errors are available in survey report in external resources A data audit was completed - refer external resources The HIES data is protected under the National Statistics Act and cannot be disclosed to any individual without authorisation from the Government Statistician Director 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: Kiribati National Statistical Office. Kiribati Household Income and Expenditure Survey 2006, Ref. KIR_2006_HIES_v01_M. Dataset downloaded from [URL] on [date]. No access policy exists other than that stipulated in the Statistics Act. Persons wishing to access the data should contact the Government Statistician directly. All publications need to be cleared by NSO before publicaiton as under the Statistics Act the NSO only has authority to publish national statistical data. DWELLINGCHARCTER 1204 19 DWELLINGTENURE 1204 30 EDUCATION 695 22 HELF ACCESS 1202 9 HELF EDUCATION 4612 14 HELF HEALTH 2000 13 HELF LABOUR 3765 15 HHOLDCONTROL 6931 18 HHOPERATION 1205 88 INCOME1 672 22 INCOME2 8 18 Sample Weights 101 7 AGRICASSETS 1205 15 Business 44 7 CONSTRUCTION 1205 16 CONTRIBUTION 43 10 DIARY 74369 11 DOMESTICTRAVEL 1016 8 GIFTS 3447 13 HOMEIMPROVEMENT 1205 43 Households 1161 12 Imputed Diary 137 11 Imputed Rent 11 3 INCAGRI 1205 48 INCHANDICRAFT 1205 44 INCHOMEMADE 1204 32 INCLIVESTOCK 1205 17 Income Codes 125 5 INCOTHER 55 10 INCPREJOB 30 9 Incquintile 1161 9 INCSEAFOOD 1205 47 INCWELFARE 81 11 Total Expenditure 30498 7 Total Income 5921 6 1204 2 5 6 7 8 9 12 15 19 21 22 1204 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1204 1 94 1204 1 98 1204 1 2 3 4 5 1204 1 2 3 4 5 6 1204 1 2 3 4 5 1204 1 2 3 4 5 6 7 1204 1 2 3 4 5 6 7 8 9 1204 1900 9999 1204 1 2 3 4 9 1203 1 1 2 3 4 5 6 7 8 9 Sysmiss 1203 1 1 2 3 4 5 6 7 Sysmiss 1203 1 1 2 3 4 5 6 7 8 Sysmiss 1198 6 1 2 Sysmiss 145 1059 60 99 1105 1 2 3 4 5 6 7 9 Sysmiss 1201 3 1 2 3 4 5 6 7 Sysmiss 1199 5 1 2 Sysmiss 1204 2 5 6 7 8 9 12 15 19 21 22 1204 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1204 1 94 1204 1 98 1204 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 1170 34 9999 873 331 1 Sysmiss 222 982 1 Sysmiss 25 1179 1 Sysmiss 117 1087 1 Sysmiss 5 1199 1 Sysmiss 835 369 1 Sysmiss 291 913 2000 255 949 1 2 3 Sysmiss 295 909 1 2 Sysmiss 5 1199 1500 3 1201 1 2 Sysmiss 62 1142 930 364 840 1 2 3 4 5 6 9 Sysmiss 836 368 80000 837 367 80000 838 366 1500 1163 41 1 2 Sysmiss 98 1106 300 95 1109 1200 95 1109 960 95 1109 400 95 1109 456 95 1109 1300 1204 52000 695 2 5 6 7 8 9 12 15 19 21 22 695 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 695 1 94 695 1 94 695 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 695 1 695 450 695 1950 695 4800 695 2702 695 400 695 3200 695 3000 695 4000 695 4136 695 936 695 1200 695 800 695 3060 695 758 695 1650 695 700 1202 2 5 6 7 8 9 12 15 19 21 22 1202 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1202 1 94 1202 1 98 1195 7 1 2 3 4 5 Sysmiss 1195 7 1 2 3 4 5 6 Sysmiss 1195 7 1 2 3 4 5 Sysmiss 1112 90 1 60 167 1035 60 4612 2 5 6 7 8 9 12 15 19 21 22 4612 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 4612 1 94 4612 1 98 4459 153 1 2 5 Sysmiss 4459 153 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 Sysmiss 2176 2436 1 2 3 4 5 6 Sysmiss 2176 2436 1 2 3 4 5 6 Sysmiss 2175 2437 1 2 3 4 5 Sysmiss 2175 2437 1 2 3 4 5 Sysmiss 2175 2437 75 2172 2440 1 2 3 4 9 Sysmiss 1258 3354 1 2 3 4 5 6 7 8 9 10 Sysmiss 2301 2311 1 2 3 4 5 6 7 8 9 Sysmiss 2000 2 5 6 7 8 9 12 15 19 21 22 2000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 2000 1 94 2000 1 85 2000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 17 1999 1 1 2 9 Sysmiss 1769 231 1 2 3 4 5 6 9 Sysmiss 1768 232 99 1770 230 1 2 3 4 5 6 7 8 9 10 15 Sysmiss 235 1765 1 2 3 4 6 7 8 10 12 13 14 15 Sysmiss 1999 1 1 2 3 4 5 9 Sysmiss 1999 1 1 2 9 Sysmiss 355 1645 9999 3765 2 5 6 7 8 9 12 15 19 21 22 3765 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 3765 1 94 3765 1 98 3676 89 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 20 Sysmiss 3676 89 1 2 3 4 5 9 Sysmiss 955 2810 1 2 5 9 Sysmiss 2740 1025 1 99 265 3500 1 2 3 4 5 6 7 Sysmiss 893 2872 11102 99999 941 2824 99 890 2875 1111 9999 936 2829 1 2 3 4 5 6 7 9 Sysmiss 3673 92 1 2 9 Sysmiss 3672 93 1 2 9 Sysmiss 6931 2 5 6 7 8 9 12 15 19 21 22 6931 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 6931 1 94 6931 1 98 6931 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 6931 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 6931 1 99 6931 1 2 6927 4 1 31 6927 4 1 2 3 4 5 6 7 8 9 10 11 12 Sysmiss 6931 1916 2006 6931 90 6929 2 1 2 3 4 5 6 7 8 9 Sysmiss 4280 2651 1 2 3 4 5 9 Sysmiss 4280 2651 1 2 3 4 5 6 7 8 9 10 11 Sysmiss 4280 2651 1 2 3 4 5 6 7 8 9 Sysmiss 4280 2651 1 2 3 4 9 Sysmiss 4279 2652 1 2 3 4 5 6 8 9 Sysmiss 1205 2 5 6 7 8 9 12 15 19 21 22 1205 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1196 9 1 2 Sysmiss 173 1032 3500 173 1032 360 173 1032 80 173 1032 700 173 1032 600 173 1032 580 173 1032 420 173 1032 Sysmiss 173 1032 250 173 1032 72 173 1032 126 173 1032 70 173 1032 680 173 1032 500 173 1032 25 173 1032 50 173 1032 2 20 Sysmiss 173 1032 240 173 1032 460 1196 9 1 2 Sysmiss 198 1007 600 198 1007 2160 198 1007 2200 197 1008 Sysmiss 197 1008 70 197 1008 Sysmiss 197 1008 650 197 1008 2750 197 1008 1550 197 1008 1500 197 1008 450 197 1008 1300 197 1008 300 197 1008 1000 196 1009 2300 196 1009 130 196 1009 60 196 1009 250 196 1009 50 196 1009 Sysmiss 196 1009 Sysmiss 191 1014 120 191 1014 400 191 1014 33 191 1014 600 191 1014 175 191 1014 250 191 1014 388 191 1014 30 191 1014 200 191 1014 10 20 Sysmiss 191 1014 60 191 1014 50 191 1014 50 191 1014 480 191 1014 Sysmiss 191 1014 600 191 1014 700 191 1014 100 192 1013 1100 1192 13 1 2 Sysmiss 380 825 540 380 825 130 380 825 2 5 11 Sysmiss 380 825 877 380 825 400 380 825 180 380 825 50 380 825 220 380 825 200 380 825 120 1191 14 1 2 Sysmiss 28 1177 3 2000 1191 14 1 2 Sysmiss 17 1188 480 16 1189 30 16 1189 Sysmiss 17 1188 30 1190 15 1 2 Sysmiss 21 1184 520 21 1184 520 21 1184 200 23 1182 1 Sysmiss 672 2 5 6 7 8 9 12 15 19 21 22 672 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 672 1 94 672 1 98 670 2 1 2 3 4 5 6 7 8 9 10 11 12 13 15 16 17 Sysmiss 667 5 11102 99999 667 5 1 2 3 4 9 Sysmiss 667 5 1111 9999 667 5 1 99 667 5 99 668 4 37700 667 5 6500 667 5 3900 667 5 9100 667 5 3900 667 5 5784 667 5 50 41824 667 5 9080 667 5 46 32744 667 5 5760 667 5 4454 666 6 5 41410 8 6 7 9 12 22 8 1 7 9 13 8 1 55 8 4 50 8 1 2 11 8 3 84 8 40 7280 8 3660 8 105 8 60 8 8 8 40 7280 8 469 8 32 7251 8 90 8 50 8 32 7251 101 1.Sth Tarawa 2.Northern 3.Central 4.Southern 5.Linix 101 2 5 6 7 8 9 12 15 19 21 22 101 1 94 Total Hholds Total Hholds Total Hholds Total Hholds Total Hholds 101 17 99 Select Hholds Select Hholds Select Hholds Select Hholds Select Hholds 101 12 14 15 16 28 30 Fully Respond Hholds Fully Respond Hholds Fully Respond Hholds Fully Respond Hholds Fully Respond Hholds 101 3 28 101 4.917 47.682 1205 2 5 6 7 8 9 12 15 19 21 22 1205 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1194 11 1 2 Sysmiss 1100 105 54 1099 106 99 1100 105 99 526 679 1 9 Sysmiss 793 412 2 Sysmiss 973 232 3 Sysmiss 510 695 1 4 Sysmiss 754 451 5 Sysmiss 680 525 5 6 8 9 Sysmiss 631 574 99 44 2 5 6 7 9 12 15 21 22 44 1 2 3 4 5 7 8 9 11 13 14 15 16 44 1 94 44 1 69 44 20 8400 44 5040 44 10 6492 1205 2 5 6 7 8 9 12 15 19 21 22 1205 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1148 57 1 2 Sysmiss 28 1177 350 28 1177 Sysmiss 28 1177 200 28 1177 1200 28 1177 Sysmiss 28 1177 2000 28 1177 4000 28 1177 10000 28 1177 2000 28 1177 500 28 1177 4000 43 2 5 6 7 9 15 19 22 43 1 2 3 4 5 6 7 9 11 14 16 43 1 76 43 1 89 43 1 2 3 4 8 10 13 43 156 43 500 43 900 43 214 41 2 40 74369 2 5 6 7 8 9 12 15 19 21 22 74369 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 74369 1 94 74368 1 1 98 74368 1 1 2 Sysmiss 74368 1 1 2 3 4 5 6 7 Sysmiss 74368 1 1 2 Sysmiss 74246 123 1 96 18698 55671 80 74368 1 0.05 943 74368 1 11101 86109 1016 2 5 6 7 8 9 12 15 19 21 22 1016 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1016 1 94 1016 1 89 1014 2 3200 1013 3 8400 1012 4 300 1011 5 220 3447 2 5 6 7 8 9 12 15 19 21 22 3447 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 3447 1 94 3447 1 94 3447 1 2 3447 1 2 3 4 5 6 7 9 3446 1 3.1 4 929 2518 1 50 282 3165 50 3446 1 0.1 800 3445 2 11102 94120 3080 367 1 2 3 4 5 Sysmiss 3080 367 1 2 9 Sysmiss 1205 2 5 6 7 8 9 12 15 19 21 22 1205 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1186 19 1 2 Sysmiss 19 1186 4000 19 1186 50 19 1186 1000 19 1186 5 Sysmiss 19 1186 200 1186 19 1 2 Sysmiss 118 1087 1000 118 1087 300 118 1087 3000 118 1087 1000 118 1087 600 118 1087 870 118 1087 100 118 1087 865 118 1087 1800 118 1087 350 118 1087 45 118 1087 75 118 1087 1000 118 1087 80 118 1087 280 118 1087 Sysmiss 118 1087 50 118 1087 126 118 1087 2000 118 1087 Sysmiss 118 1087 400 118 1087 30 118 1087 100 118 1087 65 118 1087 134 118 1087 Sysmiss 118 1087 500 1186 19 1 2 Sysmiss 5 1200 45 5 1200 Sysmiss 5 1200 Sysmiss 5 1200 300 1161 2 5 6 7 8 9 12 15 19 21 22 1161 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1161 1 94 1161 1 98 1161 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 20 1161 1 2 3 4 5 1161 1 2 1161 18 83 1161 1 2 3 4 5 8 9 1161 1 2 3 4 5 6 7 8 9 1161 1 2 3 4 5 6 8 9 10 11 1161 1 2 3 4 5 137 5 6 9 12 15 137 3 4 5 6 7 8 9 11 12 13 14 137 1 2 4 5 7 8 9 10 11 13 15 137 4 64 137 1 2 137 1 2 3 4 5 6 7 137 1 2 137 1 55 24 113 1 2 3 4 Sysmiss 137 0.2 47.5 137 11102 84109 11 2 5 6 7 8 9 12 15 19 21 22 11 600 1200 11 1200 3000 1205 2 5 6 7 8 9 12 15 19 21 22 1205 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1196 9 1 2 Sysmiss 36 1169 600 36 1169 Sysmiss 36 1169 600 36 1169 Sysmiss 36 1169 Sysmiss 35 1170 Sysmiss 35 1170 140 35 1170 1 2 Sysmiss 35 1170 138 1196 9 1 2 Sysmiss 497 708 4160 495 710 600 496 709 4110 485 720 600 485 720 66 485 720 534 485 720 200 485 720 40 485 720 198 485 720 420 485 720 45 485 720 375 485 720 700 485 720 45 485 720 697 485 720 60 485 720 1 2 3 4 5 Sysmiss 485 720 60 485 720 240 485 720 2 3 5 Sysmiss 485 720 240 485 720 Sysmiss 485 720 Sysmiss 485 720 Sysmiss 485 720 1 Sysmiss 485 720 Sysmiss 485 720 1 Sysmiss 485 720 110 485 720 2 3 6 Sysmiss 485 720 110 485 720 60 485 720 25 485 720 50 1205 2 5 6 7 8 9 12 15 19 21 22 1205 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1203 2 1 2 Sysmiss 211 994 4000 211 994 186 211 994 4000 210 995 120 210 995 2 10 Sysmiss 210 995 120 210 995 30 210 995 Sysmiss 210 995 30 210 995 280 210 995 1 5 Sysmiss 210 995 279 210 995 460 210 995 30 210 995 460 210 995 300 210 995 10 20 Sysmiss 210 995 280 210 995 210 210 995 60 210 995 150 210 995 220 210 995 Sysmiss 210 995 220 210 995 200 210 995 5 Sysmiss 210 995 200 210 995 100 210 995 Sysmiss 210 995 100 210 995 100 210 995 3 20 Sysmiss 210 995 87 210 995 80 210 995 1 Sysmiss 210 995 80 210 995 600 210 995 40 210 995 600 1204 2 5 6 7 8 9 12 15 19 21 22 1204 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1204 1 94 1204 1 98 1202 2 1 2 Sysmiss 284 920 480 284 920 200 284 920 300 284 920 4185 284 920 720 284 920 4185 284 920 80 284 920 35 284 920 68 284 920 3024 284 920 330 284 920 2909 282 922 80 282 922 1 2 3 7 10 Sysmiss 282 922 77 282 922 800 282 922 40 282 922 -10 800 282 922 450 282 922 30 282 922 420 282 922 450 282 922 90 282 922 390 282 922 2100 282 922 240 282 922 1860 1205 2 5 6 7 8 9 12 15 19 21 22 1205 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1202 3 1 2 Sysmiss 104 1101 520 104 1101 100 104 1101 520 102 1103 40 102 1103 40 102 1103 Sysmiss 102 1103 250 102 1103 25 102 1103 250 102 1103 490 102 1103 Sysmiss 102 1103 490 125 21100 96102 125 Adhoc Labour Business Profits Cash Received from Relatives,friends Child benefit Child maintenance Custom - Funeral Custom event Destitute/Infirm benefit Directors fees, honoraria, remuneration for board trustees Disadvantaged assistance Drawings from business Fishing/Hunting assistance Goods received as gifts Hair cutting & ear piecing House Cleaner / Domestic Household produced food Household produced non-food Imputed Rent In-kind services to other households Income as a non-working proprietor Income for maintenance of dependent child Income from Remittances - Cash Income from Remittances - Goods Income from a Trust Account Income from baby sitting Income from lawn mowing Income from partnership as a non-working shareholder Income from taro patching Inheritance Interest Irregular Income from sale of goods Irregular income from land Kiribati Provident Fund Life Insurance Matrimonial property settlement Non-Government Fund Old age pension Other Government Fund Other income Other income from previous job Other services provided to households Overseas Fund Payment in kind Provident Fund - lump sum Remuneration from other source n.e.c Remuneration from previous job Rent Rent - lease of land Rent Subsidy Repair work Royalties Sale - Banana Sale - Basket Sale - Beans Sale - Beneka Sale - Cabbage Sale - Cakes, scones Sale - Chicken Sale - Coconut Oil Sale - Copra Sale - Crab (coconut) Sale - Crab (mangrove) Sale - Cucumber Sale - Duck Sale - Fish Sale - Fish lures Sale - Fish nets Sale - Ginger Sale - Green/Dry Coconut Sale - Hand held fan Sale - Irimd Sale - Kamaimai Sale - Kangkum Sale - Kaokioki Sale - Lemon/Lime Sale - Lobster Sale - Local bread Sale - Mat Sale - Model Canoe Sale - Molech Sale - Necklaces Sale - Nimoko Sale - Noni Sale - Okra Sale - Other Crops Sale - Other Fruit/Veges Sale - Other Handicrafts Sale - Other Homemade Produce Sale - Other Livestock Sale - Other Seafood Sale - Painting Sale - Pandanus purses Sale - Pandanus skirts Sale - Papaya Sale - Peppermint Sale - Pig Sale - Pigs tusks Sale - Pineapple Sale - Processed food Sale - Pumpkin Sale - Seaweed Sale - Spears Sale - Sweet Potato Sale - Tapioca Sale - Taro Sale - Te Bum Sale - Te Ibo Sale - Te Kiika Sale - Te Nouo Sale - Te Rabono Sale - Te Taari Sale - Te Were Sale - Turtle Sale - Watermelon Sale - Wood carving Sale - Yam Sale of motor vehicle Social welfare benefits/allowances Superannuation - income Wages/Salaries War pension Wedding gifts n.f.d Winnings from Raffles & Bingo 125 911 991 125 Agriculture & Fishing Sales Casual job Casual work Gift, remittance income Home Produce & Handicraft Sales Household produce consumption Other income Own Dwelling/rent free Self-Employment & Business Superannuation payments Wages/Salaries Welfare benefits/allowances Income Type Income Type Income Type Income Type Income Type 125 Cash Non Cash 55 2 5 6 7 9 12 15 21 22 55 1 2 3 4 5 7 8 9 10 11 13 14 15 16 55 1 94 55 1 69 54 1 99999 45 10 1 59 45 10 1309 9999 45 10 8400 44 11 5040 44 11 2500 30 2 5 6 7 8 9 12 15 22 30 1 2 3 5 7 8 9 11 14 30 1 39 30 1 61 29 1 1 2 3 5 6 Sysmiss 27 3 1 2 3 5 Sysmiss 28 2 9200 29 1 2500 26 4 9999 1161 2 5 6 7 8 9 12 15 19 21 22 1161 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1161 1 94 1161 1 98 1161 30 63313.76 1161 4.917 47.682 1161 13.75 13999.002 1161 412.5 2149257.755 1161 1 2 3 4 5 1205 22 2 5 6 7 8 9 12 15 19 21 22 1205 18 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 1205 1 94 1205 1 98 1203 2 2 1 2 Sysmiss 254 951 3600 253 952 1040 254 951 3450 252 953 Sysmiss 252 953 Sysmiss 252 953 Sysmiss 252 953 20 4 20 Sysmiss 252 953 Sysmiss 252 953 20 4 20 Sysmiss 252 953 2800 252 953 200 252 953 2600 252 953 150 252 953 72 252 953 78 252 953 150 252 953 Sysmiss 252 953 150 252 953 150 252 953 20 1 5 10 15 16 20 Sysmiss 252 953 150 252 953 100 252 953 5 2 3 5 Sysmiss 252 953 98 252 953 230 252 953 5 2 4 5 Sysmiss 252 953 230 251 954 800 250 955 50 251 954 800 251 954 115 251 954 5 1 2 5 Sysmiss 251 954 115 251 954 Sysmiss 251 954 Sysmiss 251 954 Sysmiss 251 954 4000 251 954 Sysmiss 251 954 4000 251 954 120 251 954 4 4 Sysmiss 251 954 120 81 2 5 6 7 8 9 12 15 19 21 22 81 1 2 3 4 5 6 7 8 9 13 16 81 1 85 81 1 59 80 1 1 2 3 4 5 6 7 8 13 Sysmiss 47 34 1 2 3 4 9 Sysmiss 48 33 6000 15 66 1 2 3 4 Sysmiss 12 69 5250 31 50 1 2 3 4 Sysmiss 30 51 20 7499 30498 2 5 6 7 8 9 12 15 19 21 22 30498 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 30498 1 94 30498 1 98 30498 11101 91102 30498 52000 30498 1 2 5921 2 5 6 7 8 9 12 15 19 21 22 5921 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 18 5921 1 94 12.887 5921 1 98 24.711 5921 21100 96102 79129.887 5921 50220 1658.762