In 2024, Indonesia's financial literacy index was around 65.43 percent. Although the index has been increasing since 2013, the national financial literacy index was still considerably low and indicates that there was still a substantial portion of the population who does not understand financial service providers, their products, features, advantages, and risks, which hinders the development of Open Finances. This index consists of a survey to assess the level of knowledge, skills, confidence, attitudes, and behavior related to financial services and products.

This statistic presents the level of self assessed financial literacy in the United States in 2014, by investable assets. During the survey period, it was found that 43 percent of the respondents with investable assets worth 500,000 U.S. dollars and more admitted that they were very financially literate.

This statistic presents the level of self assessed financial literacy in the United States in 2017. During the survey period, it was found that 56 percent of the respondents admitted that they were somewhat financially literate.

Abstract

The Financial Literacy survey is part of a World Bank Financial Governance/Consumer Protection in Financial Services Program in ECCU5 Countries. The Program aims to improve the levels of consumer protection and financial literacy in these countries—and thereby strengthen consumer confidence in the financial sectors. To this end the World Bank commissioned to the Alpha Research a baseline national representative survey. The objective of the study is to assess the level of financial literacy and consumer confidence of households and to outline the peculiarities in different target groups prior to the implementation of the action plan for increasing the financial literacy of the general population and in particular of the lowincome groups.

Geographic coverage

National

Analysis unit

Household, Individual

Universe

A total of 1432 respondents from a general population (18+) were interviewed in their homes. Additional booster sample of 186 youth aged 16-17 was implemented.

Kind of data

Sample survey data [ssd]

Sampling procedure

Definition of sample size and sample frame

Sample size: based on statistical calculations in order to obtain max. standard deviation +/- 2.5% . - Main sample - 1500 respondents general population - Booster – 300 respondents 16-17 years old

Sample frame: random, two-staged stratified sample with probability, proportional to the size of the location. The sample include both urban and rural areas and is based on two stratification criteria: - NUTS region (6 regions – North-West, North-Central, North-East, South-West, South-Central, South-East) - Type of location (5 groups – Capital; Regional center with more than 100000 citizens, Regional center with less than 100000 citizens, Small town, Village)

Implementation of the sampling procedure

• All NUTS regions in Bulgaria have been ranged in descending order according to the size of the population.
• At the first stage the sample was distributed proportionally on the size of population in each of the 30 (6 NUTS X 5 type of location groups) strata different from zero.
• A cumulative column with the number of locations in each region was prepared. This cumulative column is used for defining the number of the sample points at the second stage of the sample and respectively – the number of the respondents in each location (proportionally to its’ size).
• The sample step was calculated according to the following formula: Sample step = Number of population in the region (N) divided on the number of respondents in the sample.
• A random starting number was defined.
• A number of 10 respondents in each sample nest have been set in order to minimize the influence of correlation error within the sample nest. The largest locations include a higher number of sample nests.
• The number of sample nests and the number of respondents in each location have been defined, proportionally to their size.
• At a second-stage, using the random selection based on the “last birthday in the household”, the respondents were selected within each sample point.
• The sample is representative for the adult population (18+).
• Additional sample booster of young people (16-17 years old) was prepared according to the same criteria.

Mode of data collection

Face-to-face [f2f]

Research instrument

• The questionnaire is based on the model Financial Literacy Survey questionnaire used in Romania in order to achieve comparison of the results between the countries.
• Questions from previous surveys on financial literacy issues conducted in Bulgaria have been included in the questionnaire as well. This allows comparison of the survey results with those of previous studies.
• The questionnaire was reviewed with the relevant institutions – Bulgarian National Bank, Ministry of Economy, Energy and Tourism, World Bank.

Response rate

A total number of 1800 respondents were reached and 1618 interviews were conducted:

• Main sample: total number of 1500 respondents were reached and 1432 were conducted:

  • Response rate – 95%
  • Refusal rate - 5%
  • Main reason for refusals: the length of interview

• Booster sample of young citizens aged 16 – 17 y.o.: total number of 300 respondents were reached and 186 interviews were conducted:

  • Response rate – 62%
  • Refusal rate – 38%
  • Main reason for refusals: the subject of the survey

In 2022, Peruvian students reached the highest financial literacy score among the Latin American countries analyzed by the program for international student assessment (PISA), with 421. Brazil followed with a mean score of 416.

Abstract

The survey on financial literacy among the citizens of Bosnia and Herzegovina was conducted within a larger project that aims at creating the Action Plan for Consumer Protection in Financial Services.

The conclusion about the need for an Action Plan was reached by the representatives of the World Bank, the Federal Ministry of Finance, the Central Bank of Bosnia and Herzegovina, supervisory authorities for entity financial institutions and non-governmental organizations for the protection of consumer rights, based on the Diagnostic Review on Consumer Protection and Financial Literacy in Bosnia and Herzegovina conducted by the World Bank in 2009-2010. This diagnostic review was conducted at the request of the Federal Ministry of Finance, as part of a larger World Bank pilot program to assess consumer protection and financial literacy in developing countries and middle-income countries. The diagnostic review in Bosnia and Herzegovina was the eighth within this project.

The financial literacy survey, whose results are presented in this report, aims at establishing the basic situation with respect to financial literacy, serving on the one hand as a preparation for the educational activities plan, and on the other as a basis for measuring the efficiency of activities undertaken.

Geographic coverage

Data collection was based on a random, nation-wide sample of citizens of Bosnia and Herzegovina aged 18 or older (N = 1036).

Analysis unit

Household, individual

Universe

Population aged 18 or older

Kind of data

Sample survey data [ssd]

Sampling procedure

SUMMARY

In Bosnia and Herzegovina, as is well known, there is no completely reliable sample frame or information about universe. The main reasons for such a situation are migrations caused by war and lack of recent census data. The last census dates back to 1991, but since then the size and distribution of population has significantly changed. In such a situation, researchers have to combine all available sources of population data to estimate the present size and structure of the population: estimates by official statistical offices and international organizations, voters? lists, list of polling stations, registries of passport and ID holders, data from large random surveys etc.

The sample was three-stage stratified: in the first stage by entity, in the second by county/region and in the third by type of settlement (urban/rural). This means that, in the first stage, the total sample size was divided in two parts proportionally to number of inhabitants by entity, while in the second stage the subsample size for each entity was further divided by regions/counties. In the third stage, the subsample for each region/county was divided in two categories according to settlement type (rural/urban).

Taking into the account the lack of a reliable and complete list of citizens to be used as a sample frame, a multistage sampling method was applied. The list of polling stations was used as a frame for the selection of primary sampling units (PSU). Polling station territories are a good choice for such a procedure since they have been recently updated, for the general elections held in October 2010. The list of polling station territories contains a list of addresses of housing units that are certainly occupied.

In the second stage, households were used as a secondary sampling unit. Households were selected randomly by a random route technique. In total, 104 PSU were selected with an average of 10 respondents per PSU. The respondent from the selected household was selected randomly using the Trohdal-Bryant scheme.

In total, 1036 citizens were interviewed with a satisfactory response rate of around 60% (table 1). A higher refusal rate is recorded among middle-age groups (table 2). The theoretical margin of error for a random sample of this size is +/-3.0%.

Due to refusals, the sample structure deviated from the estimated population structure by gender, age and education level. Deviations were corrected by RIM weighting procedure.

MORE DETAILED INFORMATION

IPSOS designed a representative sample of approximately 1.000 residents age 18 and over, proportional to the adult populations of each region, based on age, sex, region and town (settlement) type.

For this research we designed three-stage stratified representative sample. First we stratify sample at entity level, regional level and then at settlement type level for each region.

Sample universe:

Population of B&H -18+; 1991 Census figures and estimated population dynamics, census figures of refugees and IDPs, 1996. Central Election Commision - 2008; CIPS - 2008;

Sampling frame:

Polling stations territory (approximate size of census units) within strata defined by regions and type of settlements (urban and rural) Polling stations territories are chosen to be used as primary units because it enables the most reliable sample selection, due to the fact that for these units the most complete data are available (dwelling register - addresses)

Type of sample:

Three stage random representative stratified sample

Definition and number of PSU, SSU, TSU, and sampling points

• PSU - Polling station territory Definition: Polling stations territories are defined by street(s) name(s) and dwelling numbers; each polling station territory comprises approximately 300 households, with exception of the settlements with less than 300 HH which are defined as one unite. Number of PSUs in sample universe: 4710
• SSU - Household Definition: One household comprises people living in the same apartment and sharing the expenditure for food
• TSU - Respondent Definition: Member of the HH , 18+ Number of TSUs in sample universe: = 2.966.766
• Sampling points Approximately 10 respondents per one PSU, total 104

Stratification, purpose and method

• First level strata: Federation of B&H Republika Srpska Brc ko District
• Second level strata: 10 cantons 2 regions -
• Third level strata: urban and rural settlements
• Purpose: Optimisation of the sample plan, and reducing the sampling error

• Method: The strata are defined by criteria of optimal geographical and cultural uniformity

• Selection procedure of PSU, SSU, and respondent Stratification, purpose and method

• PSU Type of sampling of the PSU: Polling station territory chosen with probability proportional to size (PPS) Method of selection: Cumulative (Lachirie method)

• SSU Type of sampling of the SSU: Sample random sampling without replacement Method of selection: Random walk - Random choice of the starting point

• TSU - Respondent Type of sampling of respondent: Sample random sampling without replacement Method of selection: TCB (Trohdal-Bryant scheme)

• Sample size N=1036 respondents

• Sampling error Marginal error +/-3.0%

Mode of data collection

Face-to-face [f2f]

Research instrument

The survey was modelled after the identical survey conducted in Romania. The questionnaire used in the Financial Literacy Survey in Romania was localized for Bosnia and Herzegovina, including adaptations to match the Bosnian context and methodological improvements in wording of questions.

Cleaning operations

Before data entry, 100% logic and consistency controls are performed first by local supervisors and once later by staff in central office.

Verification of correct data entry is assured by using BLAISE system for data entry (commercial product of Netherlands statistics), where criteria for logical and consistency control are defined in advance.

Response rate

• Nobody at home: 2,8%
• Eligible person is not home: 2,8%
• Refusal : 32,79%
• Given up after a minimum of two visits: 0,82%
• Other (excluded after control): 0,29%
• Finished: 60,5%

In 2022, the literacy rate on insurance among Indonesians reached around 31.72 percent, showing a significant increase compared to 2019. In the same year, Indonesia's overall financial literacy index was about 49.7 percent.

Hello,This dataset is for my "Financial Literacy Levels of Primary Mathematics Teachers and Primary Mathematics Teacher Candidates" article sent to "The Social Studies" journal.

Venezuela VE: Literacy Rate: Adult Male: % of Males Aged 15 and Above data was reported at 97.039 % in 2016. This records an increase from the previous number of 96.651 % for 2015. Venezuela VE: Literacy Rate: Adult Male: % of Males Aged 15 and Above data is updated yearly, averaging 94.942 % from Dec 1981 (Median) to 2016, with 8 observations. The data reached an all-time high of 97.039 % in 2016 and a record low of 86.489 % in 1981. Venezuela VE: Literacy Rate: Adult Male: % of Males Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Venezuela – Table VE.World Bank.WDI: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Random digit dialling, stratified by region

Abstract

The survey was commissioned by the World Bank and it is aligned with the objectives of the World Bank's (WB) Global Program on Consumer Protection and Financial literacy that was launched in 2010. The aim of the WB program is to help targeted countries achieve better consumer protection in financial services. The WB initiative has targeted both public and private sector agencies, and has sponsored comprehensive research projects with the objective of finding the best solutions for each individual country/region. The survey focuses on financial services such as banking, insurance, microfinance in terms of credit, savings and payment systems, and was designed to identify the level of financial awareness and familiarity with financial services providers in the West Bank and Gaza. The survey also tried to identify appropriate methods for expanding consumer education and strengthening consumer rights in the West Bank and Gaza.

It is expected that the survey will support the objectives outlined by the Word Bank's Financial Governance/Consumer Protection in Financial Services Program. A major objective of this survey is to provide regional data for the World Bank's multi-national database. Thus, the inherent strengths of this initiative is that it will allow regional stakeholders the opportunity to draw upon both local and international data. Local, international, small and large-scale strategies can then be formulated by comparing the diagnostic reviews of local data to that of other survey countries. By learning from the successes and failures of other survey countries, more effective mechanisms for the improvement of consumer protection and financial literacy in the West Bank and Gaza can be established.

Geographic coverage

National

Analysis unit

Household, individual

Universe

The target population is comprised of all Palestinians of the age group 18 - 65 years old residing in the territories of the West Bank and Gaza.

Kind of data

Sample survey data [ssd]

Sampling procedure

The survey collected data from 2022 Palestinians in the West Bank and Gaza. The sample distribution was 66.8% West Bank and 33.2% Gaza Strip.

Sampling Frame

The sampling frame included all geographical locations in which the target population resides. The sampling frame was used to select the sample of locations for the survey. It also included the type of localities (urban, rural and refugee camps) and population size in each location. This information was taken into consideration in designing the survey sample.

The following table provides the distribution of Palestinian households by governorates according to data available on the Census of 2007:

Sampling Frame according to Number of Households:

Governorate Total Number of Households West Bank: Jenin 47,437 Tubas 9,004 Tulkarem 29,938 Nablus 59,663 Qalqilia 16,483 Salfit 11,103 Ramallah Al Bireh 52,834 Jericho 7,615 Jerusalem 70,434 Bethlehem 32,667 Hebron 89,919 Subtotal 427,097

Gaza Strip: North Gaza 40,262 Gaza 76,810 Deir Al Balah 32,083 Khan Yonis 43,203 Rafah 26,863 Subtotal 219,221

Total 646,318

The following table shows the distribution of Palestinian households according to type of locality:

Sampling Frame according to Type of Locality Type of Locality Number of Households

Urban 472,736 Rural 113,386 Refugee Camps 60,196

Total 646,318

The frame was divided into strata depending on the homogeneity of the divided parts as follows: A) Governorates: 16 in the West Bank and Gaza. B) The type of locality: city, village and refugee camp.

Sample Design and Type

Three Stage Stratified Cluster Sample of 2022 persons (2022 households). The sample design was as follows: 1. Stage one: selection a sample of 60 representative localities covering all strata. 2. Stage two: selection a random sample of Palestinian households from each location selected in the first stage. 3. Stage three: random selection of one person from each household using Kish table within the age group of 18 years old and above. Half of the sample will be male and half is female respondents.

Sample Size The sample size was 2022 persons from all Palestinian territories aged 18 years and above. Main regions covered by the sample are: the West Bank (excluding Ramallah), Ramallah and Gaza Strip. The sample was distributed as follows:

Region / # of Households

Ramallah and Al Bireh 350 West Bank 1000 Gaza Strip 672 Total 2022

The margin of error in the main key variables is approximately 2.5% on the entire sample size and it should be bigger in the detailed domains.

Sample Representation:

The researchers ensured that the sample is representative of the following during the field work:

1) Geographical representation: the sample distribution covers all governorates of the West Bank (including Jerusalem) and Gaza strip, thus provides a comprehensive geographical representation. 2) Economic Activity: in general, Ramallah and Al Bireh governorate is considered the economic and commercial center and thus was given a higher weight in the sample compared to the rest of the localities. 3) Economic Sectors: the sample covered different economical sectors such as employees of industrial, services and commercial sectors (usually in the main cities), workers in the agricultural sector (rural areas) and workers in the informal sector (mostly in Gaza). 4) Poverty levels: the sample covers poor localities as provided by statistics. In general, Gaza is considered poorer than the West Bank. Also, refugee camps and some localities particularly in North West Bank are considered poorer than the rest of localities and the above sample distribution provides coverage of such localities. 5) Age Groups: the sample covered all age groups above the age of 18. The reason behind selecting the starting age to be 18 is the fact that it is within this age that an individual is expected to become involved with financial transactions and thus will be dealing with financial services. 6) Gender: the sample was gender balanced; half of the respondents were males and half were females. This corresponds with the gender distribution of the Palestinian Territories. 7) Infrastructure: the sample covered central and remote localities to guarantee representation of poor versus good infrastructure and availability of services including financial services.

Mode of data collection

Face-to-face [f2f]

Research instrument

A standard questionnaire was previously developed by the World Bank and was adapted to the Palestinian context by Riyada Consulting. The questionnaire was also shared with local stakeholders such as the Palestinian Monetary Authority, USAID and other departments of the World Bank.

Abstract

Policymakers and much of the migration literature have long worried that the majority of remittances are used for consumption purposes, not savings or investment, reducing their long-term development potential. One of the main policy responses to try and increase savings from remittances and improve financial management among remittance receivers has been the introduction of financial literacy programs for migrants and/or their families.

Researchers from the World Bank conducted a randomized experiment in Indonesia in the context of a pilot program on financial literacy for female overseas migrant workers and their families. The program was developed as a partnership between the Government of Indonesia and the World Bank, and implemented in Greater Malang area and Blitar District of East Java Province. The training program emphasized financial planning and management, savings, debt management, sending and receiving remittances, and understanding migrant insurance. One key policy question is whether such information is best delivered to the migrant worker herself, to someone in their remaining household, or to both. The experiment directly tested these options using three treatment groups: a group in which only the migrant worker receives training, a group in which the main remittance receiver or decision-maker in the remaining household receives training, and a group in which both receive training.

The baseline survey was conducted on a rolling basis from February to June 2010 to coincide with the training cycle. After the training, three rounds of follow-up surveys were administered to family members left behind. The follow-up surveys were conducted from March 2011 to January 2012, at time intervals corresponding to the migrant being 9, 15, and 19 months abroad on average. The follow-up data was then used to measure impacts on the financial knowledge, behaviors, and remittance and savings outcomes of the remaining household.

Researchers collaborated with Malang's Manpower and Transmigration Office and 11 migrant workers' recruiting agencies (PPTKIS) based in Greater Malang to obtain a sample of 400 migrant workers and their families.

Geographic coverage

Greater Malang

Analysis unit

• Migrant workers
• Family members of migrant workers

Kind of data

Sample survey data [ssd]

Sampling procedure

The recruitment of respondents was conducted on a rolling basis, with the project team periodically contacting the 11 PPTKIS (Privately-owned Indonesian Manpower Placement Company) to obtain lists of workers originating in the Greater Malang and Blitar districts who were recruited by these companies to work abroad. The PPTKIS selected workers who were either staying in their dormitory facilities while undergoing training, or otherwise lived close by. These PPTKIs recruit both males and females, but the males typically do not come and stay in dormitory accommodation, so males were only selected if they lived nearby. They did not screen workers for interest in participating in training, so the workers should be considered as broadly representative of Indonesian female migrants. Researchers set a target sample size of 400 households, and continued to collect workers in batches from these recruiting agencies until this target had been met.

As batches of worker names were received from the PPTKIS, they were entered by project staff onto an Excel worksheet in the order listed by the PPTKIS, and a random number generator used to assign individuals to a treatment status. Since batches of workers were often not of size divisible by four, and were of varying numbers, and that the only information available on the workers was basic data supplied by the PPTKIS, the research team did not stratify the randomization. The sample of 400 migrant workers was randomly assigned into one of the following groups:

• Treatment A: Financial literacy training is provided to the migrant worker only
• Treatment B: Financial literacy training is provided to the migrant worker's household member only
• Treatment C: Financial literacy training is provided separately to both the migrant workers and to their household members
• Group D: Control group with no financial literacy training provided

Out of the sample of 400 migrant workers, this random assignment resulted in 101 migrant households being assigned to treatment A, 97 - to treatment B, 98 - to treatment C, and 104 - to a control group.

Mode of data collection

Face-to-face [f2f]

Data from a survey regarding women financial literacy and their decision to invest in the stock market

In 2022, the share of correct answers in a financial literacy survey in Japan was 55.7 percent. This represented a slight decrease compared to 2019 when respondents answered 56.6 percent of financial knowledge questions correctly.

Financial literacy of EU citizens. Topics: self-rated knowledge about financial matters compared to other adults in the own country; knowledge test: development of savings with a special interest rate over one year, development of the purchasing power of a special amount of money given a special inflation over one year, development of bond prices in case of rising interest rates, riskiness of investments with higher returns, riskiness of investments with a wide range of company shares; financial knowledge score; attitude towards the following statements: respondent carefully considers whether something is affordable before buying it, respondent keeps track and monitors own expenses, respondent sets long-term financial goals and strives to achieve them; financial behaviour score; overall financial literacy score; number of months being able to continue to cover own living expenses without borrowing any money or moving house in case of loss of main source of income; kind of financial products currently having or having had in the last two years: private pension or retirement product, life insurance, non-life insurance, mortgage or home loan, other consumer loan, investment product, crypto-securities, none of these; confidence with regard to having enough money to live comfortably throughout retirement years; comfort with using digital financial services; confidence in investment advice from bank / insurer / financial advisor. Demography: age; sex; nationality; responsible person for making day-to-day decisions about money in the household; highest completed level of full time education; ISCED level; household’s total income: awareness of weekly, monthly, yearly income; household´s total income per: week, month, year; age at end of education; occupation; professional position; type of community; household composition and household size. Additionally coded was: respondent ID; country; device used for interview; region; nation group; weighting factor. Finanzielle Bildung der EU-Bevölkerung. Themen: Selbsteinschätzung des Wissens über finanzielle Angelegenheiten im Vergleich zu anderen Erwachsenen im eigenen Land; Wissenstest: Wertentwicklung von Ersparnissen bei einem bestimmten Zinssatz über ein Jahr, Entwicklung der Kaufkraft eines bestimmten Betrags bei einer bestimmten Inflationsrate über ein Jahr, Entwicklung von Anleihepreisen bei steigenden Zinsen, Risiko von Investitionen mit höherer Rendite, Risiko von Investitionen mit einer breiten Palette von Unternehmensanteilen; Score Finanzielle Bildung; Einstellung zu den folgenden Aussagen: sorgfältiges Abwägen der Bezahlbarkeit vor der Anschaffung von Dingen, Überwachung der eigenen Ausgaben, Setzen langfristiger Finanzziele; Score Finanzverhalten; Gesamtscore Finanzielle Bildung; Anzahl der Monate, in denen man bei Verlust der Haupteinnahmequelle weiterhin den eigenen Lebensunterhalt bestreiten kann, ohne sich Geld leihen oder umziehen zu müssen; aktuell oder in den letzten zwei Jahren gehaltene Finanzprodukte: private Altersvorsorge oder Altersvorsorgeprodukt, Lebensversicherung, Nichtlebensversicherung, Hypothek oder Wohnungsbaudarlehen, anderes Verbraucherdarlehen, Investmentprodukt, Krypto-Wertpapiere, nichts davon; Zuversicht im Hinblick auf ausreichende finanzielle Mittel in der Rentenzeit; Unbehagen bei der Nutzung digitaler finanzieller Dienstleistungen; Vertrauen in Ratschlägen zu Geldanlagen von Bank / Versicherer / Finanzberater. Demographie: Alter; Geschlecht; Staatsangehörigkeit; verantwortliche Person für alltägliche Entscheidungen über Geld im Haushalt; höchster Bildungsabschluss; ISCED-Level; Haushaltsgesamteinkommen: Kenntnis des wöchentlichen, monatlichen, jährlichen Einkommens; Haushaltsgesamteinkommen pro: Woche, Monat, Jahr; Alter bei Beendigung der Ausbildung; Beruf; berufliche Stellung; Urbanisierungsgrad; Haushaltszusammensetzung und Haushaltsgröße. Zusätzlich verkodet wurde: Befragten-ID; Land; für das Interview genutztes Gerät; Region; Nationengruppe; Gewichtungsfaktor.

Financial overview and grant giving statistics of Jumpstart Coalition For Personal Financial Literacy

Abstract copyright UK Data Service and data collection copyright owner.

The Financial Capability Survey is a nationally representative survey of UK residents, commissioned initially in 2005 by the Financial Services Authority and then from 2015 onwards by the Money and Pensions Service (formerly the Money Advice Service), to support the development and delivery of the Financial Capability Strategy for the UK.

The Children and Young People's Financial Capability Survey, 2019 is a nationally representative study of the financial knowledge, attitudes, mindsets and behaviours of 7-17 year olds and their parents, living in the UK. A total of 3,745 children and young people and their parents were interviewed as part of this research.

Children were asked about:

• how they get, save and spend money;
• their attitude to spending, saving and debt;
• their confidence and understanding about money; and
• how they recall receiving financial education.

Their parents were asked about:

• their own attitudes and behaviours with money;
• their attitudes and approaches towards parenting relevant to money; and
• their view on their child's skills, abilities, attitudes and behaviours with money.

The reports published so far from the 2019 survey can be found on the Money and Pensions Service Research webpage (Short Reports) and on the Money Advice Service Contributing Analysis Reports webpage.

The 2019 survey updates and builds on the previous 2016 Children and Young People's Financial Capability Survey (not currently held at the UK Data Service) and provides robust measures of children and young people's financial capability across the UK, including separate analysis for each devolved nation. (Reports from the 2016 survey are also available at the web link above.)

The survey includes questions around four topics:

a. Financially capable behaviours: these are the behaviours that children and young people exhibit or the actions they take. Based on previous analysis, focus is on two key financially capable behaviours: Day to day money management and active saving.

b. Financial enablers and inhibitors: these are the things that make financially capable behaviours either easier or more difficult for children and young people to achieve:

• Connection, e.g. having responsibility for money
• Mindset, e.g. having a saving mindset and shopping around
• Ability, e.g. skills and knowledge

c. Some external factors, which are also important drivers of financially capable behaviours

• Financial means, i.e. receiving money, receiving it regularly, how much do they get.
• Parental influences , i.e. parent sets rules around money

d. Demographics and other characteristics: both child and household characteristics including children's social-emotional, cognitive or behavioural skills.

Secure property rights are critical for economic growth. One of the central manifestations of these rights is over land tenure. Secure land tenure can lead to increased access to credit, increased investment, and higher agricultural output. This in turn can lead to significant improvement in household welfare. However to gain access to credit, collaterals in the form of landed property may be required. Following this logic and expectations, the Millennium Development Authority (MiDA) started a Land Tilting pilot program in the Awutu-Senya District of the Central Region of Ghana in 2010. The Institute of Statistical, Social and Economic Research (ISSER) was tasked with conducting an independent impact evaluation of the outcomes after implementation.

The impact evaluation survey sought to examine the effects at different points in the chain of effects (i.e. from perceived tenure security to ultimate household welfare). Such as:
- The effect of land title registration on the perceived tenure security
- The effect of land registration on investments in land (e.g. agricultural improvements, building construction, tree planting)
- The effect of land title registration on access to credit
- The effect of land title registration on crop choice (e.g. between cash and subsistence crops)

The information gathered from the survey would generally aid decision makers in the formulation of economic and social policies to:
- Construct models to simulate the impact on individual groups of the various policy options and to analyze the impact of decisions that have already been implemented and of the economic situation on living conditions of households
- To provide benchmark data for the district assemblies

The survey can be important for planners to know how to improve the quality of people's living standards. National Development Planning Commission, the Ministry of Finance and Economic Planning (MFEP), District Assemblies, Research Institutions, Non-Governmental Organizations and the general public will also greatly benefit from data of this survey.

The National Public Education Financial Survey, 2012-13 (NPEFS 2012-13), is a study that is part of the Common Core of Data's National Public Education Financial Survey program; program data is available since 1987 at . CCD-NPEFS 2012-13 [https://nces.ed.gov/ccd/stfis.asp] is a cross-sectional survey that gathers data on the financing of education. NPEFS data are used in calculating states' Title I grants. The study was conducted using responding agencies' existing administrative records. The universe of state education agencies was sampled. The study's response rate is TBD. Key statistics produced from CCD-NPEFS 2012-13 will collect data on attendance, revenue, and expenditure data from which NCES determines a State's 'average per-pupil expenditure' (SPPE) for elementary and secondary education.

The popularization of financial literacy has become a global trend, with governments across the world expressing commitment to continuously enhancing the financial literacy of their citizens to improve the country’s overall financial well-being. However, there is a lack of research evaluating the actual effects of financial literacy on Chinese households. This study first investigated the micro impact of financial literacy on the household stock profit level using data from the 2019 China Household Finance Survey. As most existing studies use factor analysis to measure financial literacy from a single dimension of financial knowledge, our study additionally used the entropy method to construct a composite evaluation system of financial literacy from four dimensions: financial skills, knowledge, attitudes, and behaviors. The ordinary least squares model was utilized as the primary regression model to estimate the correlation, and the average financial literacy of other households in the same community was selected as an instrumental variable. Further instrumental variable regression analysis was conducted using the two-stage least squares method. Three robustness tests were performed to ensure the reliability of the research findings. The results demonstrate that financial literacy significantly enhances household stock profit levels. The mediation effect analysis indicates that financial literacy affects stock profit levels through financial information attention. Moreover, financial literacy has a more substantial promoting effect on stock profit levels for households with members working for state-owned enterprises and those living in first-tier cities. This study confirms the value of financial literacy; identifies important channels for residents to increase their property income; and provides important guidance for the government, educational organizations, and financial institutions. This also injects more vigor into market participation to improve the persistently sluggish Chinese stock market.