This statistic shows the share of social welfare spending in recurrent government expenditure in Hong Kong from 2011/12 to 2022/22. In 2021/22, the estimated share of social welfare in the total expenditure of Hong Kong's government was around **** percent.

This table aims to show the distribution of welfare of persons in the Netherlands, measured by their income. The figures in this table are broken down to different person characteristics.

The population consists of all persons in private households with income on January 1st of the reporting year. In the population for the subject low-income persons, persons in both student households and households with income only for a part of the year have been excluded. The population for the subject economic independence consists of all persons aged from 15 to the OAP-age in private households with income on January 1st of the reporting year, except for students and pupils.

Data available from: 2011

Status of the figures: The figures for 2011 to 2022 are final. The figures for 2023 are preliminary.

Changes as of November 2024: The preliminary figures for 2023 have been added.

When will new figures be published? New figures will be published in the fall of 2025.

Abstract

The 2011 Welfare Monitoring Survey (WMS) is the sixth in the series and is part of the Integrated Household Survey (IHS) programme being implemented by National Statistical Office (NSO). The programme includes a comprehensive integrated household survey every five years and lighter annual WMSs between the five years. WMS is a follow-up to the Core Welfare Indicators Questionnaire Survey (CWIQ) that was undertaken by the National Statistical Office (NSO) in 2002. Unlike the CWIQ, which was basically a World Bank instrument, WMS has been adapted to suit local requirements. The basic objective of WMS is to provide rapid information on selected core indicators in the population that would enable monitoring changes on a yearly basis. The specific objectives are to provide: -

• Indicators for monitoring living conditions of people in Malawi.
• Indicators for monitoring progress and attainment of goals outlined in the Malawi Growth and
• Development Strategy (MGDS) II and the Millennium Development Goals (MDGs).
• A regular database for socio-economic research.

Like all previous WMSs, the 2011 series collected data from a representative sample at national, regional and district level. In all series, emphasis is on producing quick results. Hence data entry commences as soon as the first batch of questionnaires is received from the field. Data entry is done through scanning using the optical Eyes and Hands software.

Geographic coverage

National, Regional and District level

Analysis unit

• Households
• Individuals

Sampling procedure

The 2011 WMS was based on a random sample that covered 14 000 households drawn from all the districts of the country. The Sample for the 2011 WMS was designed to provide estimates at national, regional and district levels. The sampling frame consist of Enumeration Areas (EA) from 2008 Malawi Population and Housing Census (PHC). During the 2008 PHC, each district was subdivided into EAs and each EA as a whole was classified as urban or rural. The 2011 WMS sample was selected using a stratified, two-stage cluster design, with EAs being the sampling units for the first stage. A total of 554 clusters were included in the sample. The clusters were not allocated among the districts in proportion to their contribution to the national population since this would have left out smaller districts and with too few clusters to represent them hence some districts were oversampled. Households comprised the second stage of sampling. A total of 25 households were systematically selected in each of the sample enumeration areas. Sampling of households was without replacement.

Sampling deviation

Data collection commenced on 23rd August 2011 and was completed in February 2012 with a break in December and early January due to unavailability of fuel.

Mode of data collection

Face-to-face [f2f]

Research instrument

A questionnaire was used to collect information about every individual in the households selected for the survey. This was to a large extent similar to other WMSs in order to ascertain information on demography, health, education, employment, child health and nutritional status comparable between the two WMSs. As in the previous WMSs, electronic scales were used for weighing under five children and measuring boards were used to get children’s heights. This anthropometrical information was used to assess nutritional status of children.

Questionnaires used include: - The Household Form - The Woman/Caretaker Questionnaire - The Child Protection and Early Child Development Questionnaire

These are available as external resources.

Cleaning operations

Data processing involved:

• Editing and scanning questionnaires using Eyes and Hands software
• Conducting consistency checks and cleaning data in SPSS
• Designing tabulation plans in SPSS
• Table editing in Microsoft Excel
• Report generation using Microsoft Word

Response rate

The sample covered covered 14 000 households drawn from all the districts of the country.

This statistic shows the government expenditure on social welfare in Hong Kong from 2011/12 to 2021/22. In 2021/22, the estimated spending on social welfare by the government of Hong Kong amounted to around 105.7 billion Hong Kong dollars. This amount accounted for around 20.4 percent of the total expenditure of the government that year.

Chad TD: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data was reported at 10.485 % in 2011. Chad TD: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 10.485 % from Dec 2011 (Median) to 2011, with 1 observations. The data reached an all-time high of 10.485 % in 2011 and a record low of 10.485 % in 2011. Chad TD: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Chad – Table TD.World Bank.WDI: Social: Social Protection and Insurance. Adequacy of social safety net programs is measured by the total transfer amount received by the population participating in social safety net programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.;ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/);;

National statistical results on the staff, operation and production of health and welfare institutions

More information on how to access the data:

https://www.cbs.nl/nl-nl/onze-diensten/maatwerk-en-microdata/microdata-zelf-onderzoek-doen

Population

Health and welfare institutions

BR: Survey Mean Consumption or Income per Capita: Total Population: 2011 PPP per day data was reported at 20.390 Intl $/Day in 2019. This records an increase from the previous number of 20.250 Intl $/Day for 2014. BR: Survey Mean Consumption or Income per Capita: Total Population: 2011 PPP per day data is updated yearly, averaging 20.320 Intl $/Day from Dec 2014 (Median) to 2019, with 2 observations. The data reached an all-time high of 20.390 Intl $/Day in 2019 and a record low of 20.250 Intl $/Day in 2014. BR: Survey Mean Consumption or Income per Capita: Total Population: 2011 PPP per day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Poverty and Inequality. Mean consumption or income per capita (2011 PPP $ per day) used in calculating the growth rate in the welfare aggregate of total population.; ; World Bank, Global Database of Shared Prosperity (GDSP) (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The choice of consumption or income for a country is made according to which welfare aggregate is used to estimate extreme poverty in the Poverty and Inequality Platform (PIP). The practice adopted by the World Bank for estimating global and regional poverty is, in principle, to use per capita consumption expenditure as the welfare measure wherever available; and to use income as the welfare measure for countries for which consumption is unavailable. However, in some cases data on consumption may be available but are outdated or not shared with the World Bank for recent survey years. In these cases, if data on income are available, income is used. Whether data are for consumption or income per capita is noted in the footnotes. Because household surveys are infrequent in most countries and are not aligned across countries, comparisons across countries or over time should be made with a high degree of caution.

This table aims to show the distribution of welfare of private households, measured by their income, expenditures and wealth. The figures in this table are broken down to different household characteristics.

The population consists of all private households with income on January 1st of the reporting year. In the population for the subject low-income households, both student households and households with income only for a part of the year have been excluded.

Data available from: 2011

Status of the figures: The figures for 2011 to 2022 are final. The figures for 2023 are preliminary.

Changes as of 1 November 2024: Figures for 2022 are finalized. Preliminary figures for 2023 are added.

Changes as of 9 February 2022: The preliminary figures for 2020 concerning ‘Mean expenditures’ have been added. The topic 'Mean expenditures' only contains 5-annual data, for 2015 and 2020. The data for 2015 for this topic were still preliminary and are now final.

When will new figures be published? New figures will be published in the fall of 2025.

The Integrated Living Conditions Survey (ILCS), conducted annually by the NSS National Statistical Service of the Republic of Armenia, formed the basis for monitoring living conditions in Armenia. The ILCS is a universally recognized best-practice survey for collecting data to inform about the living standards of households. The ILCS comprises comprehensive and valuable data on the welfare of households and separate individuals which gives the NSS an opportunity to provide the public with up to date information on the population’s income, expenditures, the level of poverty and the other changes in living standards on an annual basis.

Abstract

The main objective of the Welfare Monitoring Survey is to provide data that enable to understand the non-income aspects of poverty and has the following specific objectives: 1.To assess the level, extent and distribution of non-income poverty; 2. To assess the quality of life of households/individuals; 3. To provide basic data that enables design, monitor and evaluate the impact of socioeconomic policies and programs on household's /individual's living standard; 4. To provide basic indicators on household's and individual's living standard with respect to basic needs including: Education, Health, Child Care and breast feeding, access to and utilization of basic facilities, Housing and housing amenities (drinking water, sanitation, energy, etc.), Household assets, selected indicators of living standard, harmful traditional practices and basic population characteristics.

Geographic coverage

The 2011 Welfare Monitoring Survey covered all rural and urban areas of the country except the non-sedentary areas in Afar and Somali Regional States. Excluded are three zones of Afar and six zones of Somali Regions.

Analysis unit

• Households
• Individuals (including adult women aged 15 and above, children aged 5 and below)

Universe

The 2010 Welfare Monitoring Survey covered all rural and urban areas of the country except the non-sedentary areas in Afar and Somali Regional States. Excluded are three zones of Afar and six zones of Somali Regions.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame The list of all households obtained from the 2007 Population and Housing Census was used as a frame to select the sample EAs in the rural and urban areas of the country. The frame from which sample households were selected was based on a fresh list of households taken at the beginning of the survey period in each of the selected EAs.

Sample Design For the purpose of representative sample selection the country was divided into four broad categories including rural category, major urban centers category medium and small size town’s category.

Category I - Rural: This category consists of the rural areas of 68 zones and special weredas, which are considered as zones, in 8 regions of the country. This category also includes the rural part of both Harari region and Dire Dawa City Administration. The rural part of each Region including Harari and Dire Dawa City Administration were considered to be a survey domain (i.e. reporting level) for which the major findings of the survey are reported. This category totally comprises 10 reporting levels. A stratified two-stage cluster sample design in which the primary sampling units (PSUs) were EAs was used to select samples. Twelve households per sample EA were selected as a second Stage Sampling Unit (SSU) to which survey questionnaire were finally administered to the members of sampled households.

Category II - Major Urban Centers: In this category all regional capitals and five other major urban centers that have relatively larger population size (totally 15 urban centers) were included. Each of the 14 urban center and 10 Sub cities of Addis Ababa administration a total of 24 urban domains are taken us a reporting level. In this category too, a stratified two stage cluster sample design was adopted to select the primary sampling units (the EAs). Sixteen households from each of the primary sampling units (EAs) in each reporting level were then selected as a Second Stage Unit (SSU).

Category III & IV - Other Urban Centers: Urban centers in the country other than those under category II were grouped under these categories. A domain of other urban centers is formed for eight regions (excluding Harari, Addis Ababa and Dire Dawa administration). There is no domain in category III & IV for Harari, Addis Ababa and Dire Dawa administration as they do not have urban centers other than those grouped under category II. Unlike the above two categories, a stratified three stage cluster sample design was adopted to select samples from these categories. The primary sampling unit was urban centers and the second stage sampling unit was EAs. Sixteen households from each of the selected EAs were finally selected as a third stage sampling unit.

Sample Size and Selection Scheme Category I: A total of 864 EAs and 10,368 households were selected from this category. Sample EAs of each reporting level were selected using Probability Proportional to Size (PPS) with systematic sampling techniques; size being number of households obtained from the 2007 Population and Housing Census. Twelve households per EA were systematically selected from the fresh list of households prepared at the beginning of the survey.

Category II: In this category 576 EAs and 9,216 households were selected. Sample EAs from each reporting level in this category were also selected using probability proportional to size with systematic sampling techniques; size being number of households obtained from the 2007 Population and Housing Census. Sixteen households in each of the selected EAs were systematically selected from the fresh list of households prepared at the beginning of the survey.

Category III & IV: One hundred twelve urban centers, 528 EAs and 8,448 households were selected in these two categories. Urban centers from each domain as well as EAs in each urban center were selected systematically using probability proportional to size; size being the number of households obtained from the 2007 Population and Housing Census. Sixteen households in each of the selected EAs ultimately were systematically selected from the fresh list of households prepared at the beginning of the survey. In total, including region rural, region urban and country domains, a total of 66 reporting levels were formed under this design. Annex I provides estimation procedures of total, ratio and sampling errors, annex II provides the standard errors and CVs of selected variables , annex III distribution of planned and covered samples by region and annex IV the questionnaire in English version respectively.

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey questionnaire contains 9 forms which are mentioned in detail as follows: - Form 1: Demographic Characteristics and Economic Activity: In the first section of this form, demographic characteristics of the household members such as relationship to the head of household, sex, age and religion were asked from all members of the household. The second section deals with the current economic activities of the household members aged 10 years and above. Furthermore, this section also deals, whether a person is engaged in productive activity during the last seven days prior to the date of interview. In this part of the questionnaire, if the person is not engaged in any of productive activity, during the last seven days, the main reason for not engaging in productive activity was also asked. Moreover, the employment status, the occupation and industry for the main jobs were also collected from persons that were engaged in the economic activity or from those who were absent from work/temporarily lay off for that week.

Form 2: Education: It consists among others, school attendance, dropout, reason for dropout, and literacy status were asked from all members of the household aged 5 years and above.

Form 3: Health: In the first section of this form, health conditions of all members of the household during the last two months were collected. In the second section of the form, health information of the last 12 months was also collected to all members of the household.

Form 4: Child Care and Breast Feeding: Data on birth history and breast feeding of children under age of five years were collected in this form.

Form 5: Housing Standard and Amenities: In this form, the selected households were asked about their housing and kitchen standard, sanitation, drinking water, fuel and power facilities at the time of the survey, 12 months and 5 years before the survey.

Form 6: Household’s Living Condition Indicators: Consists of four main sections namely; food security indicators, status of crop production, source of income and major shocks affecting the households.

Form 7: Access, Utilization and Satisfaction of Basic Facilities/Services: This form is used to collect data from the households like distance to service facilities and extent of utilization of the facilities, reason for not using the closest service facility and question on access, utilization and satisfaction of basic facilities.

Form 8: Ownership of Land, Dwellings and Other Buildings: This form was administered at household level and consists of four main sections namely: dwelling and land ownership status, utilization of land not owned by the household and about fixed assets owned by the household.

Form 9: Harmful traditional practice: This form is used to collect data for children aged 0-14 years about their harmful traditional practice such as, circumcision, cut of his/ her uvula and for ages less than two years particularly about childhood tooth

Cleaning operations

The data processing activities were undertaken at the head office. The first stage of data processing activity was training of data editors and coders which were held at the head office by subject matter Directorate staffs. About 70 editors/coders were engaged in the manual editing and coding activities which lasted for about 60 days. Data entry took about 37 days using 125 computers and about 100 data encoders. Machine data cleaning, estimation with proper sampling weights and tabulation activities were carried out procedurally by the

Year of resettlement(9 no response)Data Source: Lao Agriculture Census 2011Contact: Ministry of Agriculture and Forestry (MAF) URL: www.maf.gov.la Tel: 021-412345 Fax: 021-412344 E-mail: maf.infro@gmail.com P.O.BOX: 811ປີການຍົກຍ້າຍຈັດສັນ (9 ບໍ່ມີ ຄຳ ຕອບ)ການສຳຫລວດກະສີກຳ 2011ກະຊວງກະສີກຳ ແລະ ປ່າໄມ້ URL: www.maf.gov.la Tel: 021-412345 Fax: 021-412344 E-mail: maf.infro@gmail.com P.O.BOX: 811

Abstract

The primary objectives of the survey are to provide an in-depth understanding of how the crisis impacts on Georgian children and their families and to inform policy decision-making process by identifying key priority challenges that require immediate policy responses. For this purpose the survey explores the dynamics of core welfare indicators of households. It also explores the strategies that the households resort to in order to mitigate the risks posed by the negative global developments.

The aim of the WMS 2011 was to interview the same "well-informed respondent" in each household who had participated in the 2009 survey. The longitudinal dataset enables analysis of changes in household and personal circumstances over a two year period. Fieldwork began on 20th of June 2011 and finished on 30th of July 2011. It was carried out by 84 interviewers, with regional supervisors, all across Georgia.

This is the second round of the Welfare Monitoring Survey (WMS). WMS is a biennial longitudinal household survey covering all the government-controlled regions of Georgia.

Geographic coverage

The survey covers the whole country of Georgia excluding territories outside the Georgian Government's control.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling strategy targeted the 4808 households in which face-to-face interviews had been completed in 2009. Successful interviews were held with respondents from 4147 households, an 86 per cent response rate.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of survey tools, were used: a) a structured questionnaire for a face-to-face interview and b) a diary questionnaire to be completed by households in the week following the face-to-face interviews.

The questionnaires explore different dimensions of well-being of the Georgian population, incorporating questions about household assets, income and consumption, employment and livelihoods, food security, access to health, education and social services and household coping strategies.

GT: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data was reported at 3.906 % in 2011. This records a decrease from the previous number of 4.347 % for 2006. GT: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 4.126 % from Dec 2006 (Median) to 2011, with 2 observations. The data reached an all-time high of 4.347 % in 2006 and a record low of 3.906 % in 2011. GT: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Guatemala – Table GT.World Bank.WDI: Social Protection. Adequacy of social safety net programs is measured by the total transfer amount received by the population participating in social safety net programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Social safety net programs include cash transfers and last resort programs, noncontributory social pensions, other cash transfers programs (child, family and orphan allowances, birth and death grants, disability benefits, and other allowances), conditional cash transfers, in-kind food transfers (food stamps and vouchers, food rations, supplementary feeding, and emergency food distribution), school feeding, other social assistance programs (housing allowances, scholarships, fee waivers, health subsidies, and other social assistance) and public works programs (cash for work and food for work). Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

Abstract

The Integrated Living Conditions Survey (ILCS), conducted annually by the NSS National Statistical Service of the Republic of Armenia, formed the basis for monitoring living conditions in Armenia. The ILCS is a universally recognized best-practice survey for collecting data to inform about the living standards of households. The ILCS comprises comprehensive and valuable data on the welfare of households and separate individuals which gives the NSS an opportunity to provide the public with up to date information on the population's income, expenditures, the level of poverty and the other changes in living standards on an annual basis. Since 1996, when the survey was first implemented in Armenia, the National Statistical Service of the Republic of Armenia (NSS) with the assistance of the World Bank, USAID and other donor organizations, has been putting efforts to continuously improve the quality of data collected through household surveys, as well as to advance its own expertise in arriving at a more accurate assessment of poverty. These efforts have proven to be successful as the data collected through household surveys and the estimates of poverty based on such data became an important input in defining and monitoring the poverty reduction strategy, which is the responsibility of the Government. In 2004, the NSS implemented significant changes to improve the Integrated Living Conditions Survey and to update the poverty assessment methodology, which was used until 2008. With the technical assistance provided by the World Bank:

1) the survey sample frame was updated using the 2001 Population Census frame 2) the sample size was expanded to ensure representativeness of data by regions 3) the ILCS questionnaire was revised to reflect economic and social changes between 1998/99 and 2003, as well as a comprehensive section on employment was added into the questionnaire 4) the interviewers underwent a more profound training

With the co-funding provided within the period of 2007-2011 by the Millennium Challenge Account - Armenia (MCA-Armenia), a state non-commercial organization, the sample size of the ILCS has been expanded to include 7,872 households annually as compared to 5,184 households in 2006 (funded from the state budget only). When activities of MCA-Armenia came to an end in 2012, the sample size was again reduced back to 5,184 households.

Geographic coverage

National

Analysis unit

Households

Kind of data

Sample survey data [ssd]

Sampling procedure

During the 2007-2012 surveys the sampling frame for ILCS was designed according to the database of addresses for the 2001 Population Census, which was developed with the World Bank technical assistance. The sample consisted of two parts: core sample and oversample.

1) For the creation of core sample, the sample frame (database of addresses of all households in Armenia) was divided into 48 strata including 12 communities of Yerevan city. The households from other regions (marzes) were grouped according to three categories: large towns (with population of 15000 and higher), villages and other towns. Large towns formed by 16 groups (strata), while the villages and towns formed by 10 strata each. According to that division, a random, two-step sample stratified at the marz level was developed. All marzes, as well as all urban and rural settlements were included in the sample population according to the share of households residing in those settlements as percent to the total households in the country. In the first step, using the PPS method the enumeration units (i.e., primary sample units to be surveyed during the year) were selected. 2007 sample includes 48 urban and 18 rural enumeration areas per month. 2) The oversample was drawn from the list of villages included in MCA-Armenia Rural Roads Rehabilitation Project. The enumeration areas of villages that were already in the core sample were excluded from that list. From the remaining enumeration areas 18 enumeration areas were selected per month. Thus, the rural sample size was doubled. 3) After merging the core sample and oversample, the survey households were selected in the second step. 656 households were surveyed per month, from which 368 from urban and 288 from rural settlements. Each month 82 interviewers had conducted field work, and their workload included 8 households per month. In 2007 number of surveyed households was 7,872 (4,416 from urban and 3,456 from rural areas).

In 2011 a total of 7,872 households were selected, of which 4,416 and 3,456 households from urban and rural communities, respectively.

Mode of data collection

Face-to-face [f2f]

This statistic shows the number of new food and beverages (F&B) launches tracked featuring the claim "animal welfare" worldwide from 2011 to 2015. In 2014, *** new "environmentally friendly" products were launched, increasing to *** product launches the following year.

USER NOTE: This database no longer contains the most up-to-date information. Some errors and missing data from the previous years have been fixed in the most recent data release in the CCDF Policies Database Series. The most recent release is a cumulative file which includes the most accurate version of this and all past years' data. Please do not use this study's data unless you are attempting to replicate the analysis of someone who specifically used this version of the CCDF Policies Database. For any other type of analysis, please use the most recent release in the CCDF Policies Database Series. The Child Care and Development Fund (CCDF) provides federal money to States, Territories, and Tribes to provide assistance to low-income families receiving or in transition from temporary public assistance, to obtain quality child care so they can work, attend training, or receive education. Within the broad federal parameters, states and territories set the detailed policies. Those details determine whether a particular family will or will not be eligible for subsidies, how much the family will have to pay for the care, how families apply for and retain subsidies, the maximum amounts that child care providers will be reimbursed, and the administrative procedures that providers must follow. Thus, while CCDF is a single program from the perspective of federal law, it is in practice a different program in every state and territory. The CCDF Policies Database project is a comprehensive, up-to-date database of inter-related sources of CCDF policy information that support the needs of a variety of audiences through (1) Analytic Data Files and (2) a Book of Tables. These are made available to researchers, administrators, and policymakers with the goal of addressing important questions concerning the effects of alternative child care subsidy policies and practices on the children and families served, specifically parental employment and self-sufficiency, the availability and quality of care, and children's development. A description of the Data Files and Book of Tables is provided below: 1. Detailed, longitudinal Analytic Data Files of CCDF policy information for all 50 States, the District of Columbia, and United States Territories that capture the policies actually in effect at a point in time, rather than proposals or legislation. They focus on the policies in place at the start of each fiscal year, but also capture changes during that fiscal year. The data are organized into 32 categories with each category of variables separated into its own dataset. The categories span five general areas of policy including: Eligibility Requirements for Families and Children (Datasets 1-5) Family Application, Terms of Authorization, and Redetermination (Datasets 6-13) Family Payments (Datasets 14-18) Policies for Providers, Including Maximum Reimbursement Rates (Datasets 19-27) Overall Administrative and Quality Information Plans (Datasets 28-32) The information in the Data Files is based primarily on the documents that caseworkers use as they work with families and providers (often termed "caseworker manuals"). The caseworker manuals generally provide much more detailed information on eligibility, family payments, and provider-related policies than the documents submitted by states and territories to the federal government. The caseworker manuals also provide ongoing detail for periods in between submission dates. Each dataset contains a series of variables designed to capture the intricacies of the rules covered in the category. The variables include a mix of categorical, numeric, and text variables. Every variable has a corresponding notes field to capture additional details related to that particular variable. In addition, each category has an additional notes field to capture any information regarding the rules that is not already outlined in the category's variables. 2. The Book of Tables is available as three datasets (Datasets 33-35) and they present key aspects of the differences in CCDF funded programs across all states, territories, and tribes as of October 1, 2011. The Book of Tables includes variables that are calculated using several variables from the Data Files (Datasets 1-32). The Book of Tables summarizes a subset of the information available in the Data Files, and includes information about eligibility requirements for fam

India IN: Adequacy: Social Protection & Labour Programs: % of Total Welfare of Beneficiary Households data was reported at 5.199 % in 2011. India IN: Adequacy: Social Protection & Labour Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 5.199 % from Dec 2011 (Median) to 2011, with 1 observations. India IN: Adequacy: Social Protection & Labour Programs: % of Total Welfare of Beneficiary Households data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Social Protection. Adequacy of social protection and labor programs (SPL) is measured by the total transfer amount received by the population participating in social insurance, social safety net, and unemployment benefits and active labor market programs as a share of their total welfare. Welfare is defined as the total income or total expenditure of beneficiary households. Estimates include both direct and indirect beneficiaries.; ; ASPIRE: The Atlas of Social Protection - Indicators of Resilience and Equity, The World Bank. Data are based on national representative household surveys. (datatopics.worldbank.org/aspire/); Simple average;

The Health 2000 and 2011 surveys involved collecting data on the health, functional capacity and welfare of Finns as well as on related determining factors, service needs and use, and the differences in health and welfare between different population groups and the reasons for these. 10,000 Finns over 18 years of age selected with random sampling from the population register participated in the surveys. Research data was collected with interviews, health examinations and questionnaires.

The surveys collected data about the same persons in 2000 and 2011. As a result, unique follow-up data at the level of individuals is available, allowing exploring the factors that predict changes in health, functioning and welfare. In addition, comparative data on many of the phenomena charted in the Health 2000 and Health 2011 surveys is available from the Mini Finland Health Survey carried out between 1978 and 1980. This allows the versatile description of the health and functioning of the adult population and related determining factors over a period that already spans 30 years.

Year village expected to resettle(9 no response)Data Source: Lao Agriculture Census 2011Contact: Ministry of Agriculture and Forestry (MAF) URL: www.maf.gov.la Tel: 021-412345 Fax: 021-412344 E-mail: maf.infro@gmail.com P.O.BOX: 811ບ້ານປີຄາດວ່າຈະຍົກຍ້າຍຈັດສັນ (9 ບໍ່ມີ ຄຳ ຕອບ)ການສຳຫລວດກະສີກຳ 2011ກະຊວງກະສີກຳ ແລະ ປ່າໄມ້ URL: www.maf.gov.la Tel: 021-412345 Fax: 021-412344 E-mail: maf.infro@gmail.com P.O.BOX: 811