Georgia GE: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 6.440 % in 2016. Georgia GE: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 6.440 % from Dec 2016 (Median) to 2016, with 1 observations. Georgia GE: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

Actual value and historical data chart for Georgia Percentage Of Graduates From Tertiary Education Graduating From Health And Welfare Programmes Both Sexes Percent

Financial overview and grant giving statistics of Georgia County Welfare Association Foundation Inc.

Georgia GE: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data was reported at 29.179 % in 2011. Georgia GE: Adequacy: Social Safety Net Programs: % of Total Welfare of Beneficiary Households data is updated yearly, averaging 29.179 % from Dec 2011 (Median) to 2011, with 1 observations. Georgia GE: 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 Georgia – Table GE.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;

Financial overview and grant giving statistics of Georgia Professional Human Services Association

Abstract

Welfare Monitoring Survey (WMS) is a biennial longitudinal household survey, which covers the entire Georgia that are under the control of the Government of Georgia. It investigates the multi-dimensional wellbeing of the population and households with a particular focus on children (e.g. consumption poverty, material deprivations, and school attendance). The survey also makes a reference to social transfers and their impacts to poverty.

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 2013 was to interview the same ‘well-informed respondent’ in each household who had participated in the 2009 and 2011 surveys. The longitudinal dataset enables analysis of changes in household and personal circumstances over a four-year period. Fieldwork began on 23 July 2013 and finished on 15 August 2013. It was carried out by 122 interviewers, with regional supervisors, all across Georgia.

This is the third 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 in 2011. In the third round, 3726 questionnaires were completed, constituting an 89.8 per cent response rate of 2011 sample.

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.

Georgia GE: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data was reported at 4.320 % in 2016. Georgia GE: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data is updated yearly, averaging 4.320 % from Dec 2016 (Median) to 2016, with 1 observations. Georgia GE: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank: Poverty. The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

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.

Abstract

In 2009 United Nations Children's Fund (UNICEF) commissioned a nation-wide panel survey to measure the impact of the financial crisis on Georgian children and their families. The first round of the survey, conducted during May-July, explored core welfare indicators of households, including incomes, consumption, employment and livelihoods, housing, material and subjective well-being and access to utilities, social services and benefits. It also explored the strategies that households resort to in order to mitigate the risks posed by negative global developments.

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.

This is the first 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 survey target sample consisted of households that participated in Household Integrated Survey (HIS) conducted by the Georgian National Statistics Office (Geostat) in 2008. The HIS used two-stage clustering with stratification by region, settlement size and mountain or lowland location. Geostat generously provided the survey company with 6758 target addresses, the aim being to achieve interviews with approximately 6000 households. In the event, successful interviews were held in 4808 households, a response rate of 71 per cent. At 13 per cent of target addresses, no-one was at home and in 7 per cent interviews were refused.

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.

United States Georgia: Gen Exp: Public Welfare: Others data was reported at 1,298,641.000 USD th in 2015. This records a decrease from the previous number of 1,325,561.000 USD th for 2014. United States Georgia: Gen Exp: Public Welfare: Others data is updated yearly, averaging 1,032,217.000 USD th from Jun 1993 (Median) to 2015, with 21 observations. The data reached an all-time high of 1,570,544.000 USD th in 2009 and a record low of 566,519.000 USD th in 1993. United States Georgia: Gen Exp: Public Welfare: Others data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.F019: Revenue & Expenditure: State and Local Government: Georgia.

In October 2009, the U.S. Children’s Bureau named the University of Michigan Law School the National Quality Improvement Center on the Representation of Children in the Child Welfare System (QIC-ChildRep). With funding of six million dollars over six years, the QIC-ChildRep was charged with gathering, developing and communicating knowledge on child representation and also with promoting consensus on the role of the child’s legal representative. These data were collected by Chapin Hall at the University of Chicago as part of the evaluation of the QIC-ChildRep intervention. The U.S. Children’s Bureau identified that one of the barriers to successful outcomes for children who come to the attention of the court in child welfare cases is a lack of a trained and effective representative who can advocate for timeliness and effectiveness in the agency and court handling of the child’s case. Assessments of America’s child welfare system regularly identify inadequate representation of children as a chief obstacle to achieving a well-functioning child welfare system. One of the major challenges from the Children’s Bureau was to provide the first ever random assignment experimental design research projects on the legal representation of children.
The QIC-ChildRep demonstration was based on the hypothesis that one of the barriers to permanency and stability for maltreated children was the lack of a trained and effective legal representative who was able to “enter the child’s world” to learn the child's needs and wishes and effectively advocate for the child in and out of court.
In its first phase (2010), the QIC-ChildRep conducted a nation-wide assessment of the state of child representation, culminating in the drafting of the QIC-ChildRep Best Practice Model, a set of standards and expectations based on the 1996 American Bar Association Standards of Practice for Lawyers Who Represent Children in Abuse and Neglect Cases. In its second phase, the QIC-ChildRep demonstration project was designed to test the hypothesis of whether attorneys practicing according to the QIC-ChildRep Best Practice Model would improve safety, permanency and well-being outcomes for children involved with the child welfare system, relative to attorneys whose practice may not accord with the model. Chapin Hall at the University of Chicago was the evaluator. Two states agreed to become demonstration sites for the project: The Georgia Supreme Court Committee on Justice for Children Court Improvement Program (GA-CIP), with 13 participating judicial districts representing 26% of Georgia’s child population, and the Center for Children & Youth Justice (CCYJ) and Washington Office of Civil Legal Aid (OCLA), on behalf of the Washington State Supreme Court Commission on Children in Foster Care with 21 participating judicial districts representing 89% of Washington's child population. In each of these sites, Chapin Hall’s evaluation was designed to answer a set of questions about the intervention’s impact on attorney behavior and a set of questions about treatment attorney impact on child welfare outcomes. In both sites, the goal was to answer these questions for a group of attorneys representing the typical range of ability, experience and motivation of attorneys practicing as child representatives. Each partner, as a result, was expected to include all attorneys practicing child representation in participating jurisdictions in the study.

Investigators: Donald N. Duquette, J.D., Britany Orlebeke, M.P.P., Andrew Zinn, MSW, PhD, Xiaomeng Zhou, M.P.P.

United States Georgia: Gen Exp: Public Welfare: Vendor Payments data was reported at 10,632,354.000 USD th in 2015. This records an increase from the previous number of 10,228,017.000 USD th for 2014. United States Georgia: Gen Exp: Public Welfare: Vendor Payments data is updated yearly, averaging 7,554,157.000 USD th from Jun 1993 (Median) to 2015, with 21 observations. The data reached an all-time high of 10,632,354.000 USD th in 2015 and a record low of 2,731,433.000 USD th in 1993. United States Georgia: Gen Exp: Public Welfare: Vendor Payments data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.F019: Revenue & Expenditure: State and Local Government: Georgia.

Financial overview and grant giving statistics of Jewish Federation Of Columbus Ga

Georgia GE: Welfare Costs of Premature Deaths from Exposure to Ambient Ozone:(GDP) Gross Domestic ProductEquivalent data was reported at 0.280 % in 2019. This stayed constant from the previous number of 0.280 % for 2018. Georgia GE: Welfare Costs of Premature Deaths from Exposure to Ambient Ozone:(GDP) Gross Domestic ProductEquivalent data is updated yearly, averaging 0.225 % from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 0.280 % in 2019 and a record low of 0.090 % in 1995. Georgia GE: Welfare Costs of Premature Deaths from Exposure to Ambient Ozone:(GDP) Gross Domestic ProductEquivalent data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Georgia – Table GE.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual.

Georgia GE: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2017 PPP per day data was reported at 4.040 Intl $/Day in 2022. This records an increase from the previous number of 3.520 Intl $/Day for 2017. Georgia GE: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2017 PPP per day data is updated yearly, averaging 3.780 Intl $/Day from Dec 2017 (Median) to 2022, with 2 observations. The data reached an all-time high of 4.040 Intl $/Day in 2022 and a record low of 3.520 Intl $/Day in 2017. Georgia GE: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: 2017 PPP per day data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Georgia – Table GE.World Bank.WDI: Social: Poverty and Inequality. Mean consumption or income per capita (2017 PPP $ per day) of the bottom 40%, used in calculating the growth rate in the welfare aggregate of the bottom 40% of the population in the income distribution in a country.;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.

Georgia GE: Survey Mean Consumption or Income per Capita: Total Population: 2011 PPP per day data was reported at 7.380 Intl $/Day in 2016. This records an increase from the previous number of 5.970 Intl $/Day for 2011. Georgia GE: Survey Mean Consumption or Income per Capita: Total Population: 2011 PPP per day data is updated yearly, averaging 6.675 Intl $/Day from Dec 2011 (Median) to 2016, with 2 observations. The data reached an all-time high of 7.380 Intl $/Day in 2016 and a record low of 5.970 Intl $/Day in 2011. Georgia GE: 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 Georgia – Table GE.World Bank: Poverty. 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) circa 2010-2015 (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 PovcalNet. 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.

Georgia GE: Welfare Costs of Premature Mortalities from Exposure to Ambient PM2.5:(GDP) Gross Domestic ProductEquivalent data was reported at 8.740 % in 2019. This records a decrease from the previous number of 8.810 % for 2018. Georgia GE: Welfare Costs of Premature Mortalities from Exposure to Ambient PM2.5:(GDP) Gross Domestic ProductEquivalent data is updated yearly, averaging 9.015 % from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 10.870 % in 2003 and a record low of 7.870 % in 1995. Georgia GE: Welfare Costs of Premature Mortalities from Exposure to Ambient PM2.5:(GDP) Gross Domestic ProductEquivalent data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Georgia – Table GE.OECD.GGI: Social: Air Quality and Health: Non OECD Member: Annual.

格鲁吉亚：一般支出：公共福利：现金援助款在06-01-2015达70,794.000千美元，相较于06-01-2014的71,355.000千美元有所下降。格鲁吉亚：一般支出：公共福利：现金援助款数据按年更新，06-01-1977至06-01-2015期间平均值为185,028.000千美元，共37份观测结果。该数据的历史最高值出现于06-01-1993，达446,073.000千美元，而历史最低值则出现于06-01-2015，为70,794.000千美元。CEIC提供的格鲁吉亚：一般支出：公共福利：现金援助款数据处于定期更新的状态，数据来源于US Census Bureau，数据归类于Global Database的美国 – 表 US.F018：收入和支出：州及地方政府：格鲁吉亚。