72 datasets found
  1. F

    CSBS Community Bank Sentiment, Regulatory Burden Index

    • fred.stlouisfed.org
    json
    Updated Jul 8, 2025
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    CSBS Community Bank Sentiment, Regulatory Burden Index [Dataset]. https://fred.stlouisfed.org/series/CBSIRB
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    jsonAvailable download formats
    Dataset updated
    Jul 8, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CSBS Community Bank Sentiment, Regulatory Burden Index (CBSIRB) from Q2 2019 to Q2 2025 about community, business sentiment, burdened, banks, depository institutions, indexes, and USA.

  2. F

    CredAbility Consumer Distress Index for Philadelphia-Camden-Wilmington,...

    • fred.stlouisfed.org
    json
    Updated May 17, 2013
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    (2013). CredAbility Consumer Distress Index for Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/CCDIOA37980Q156N
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    jsonAvailable download formats
    Dataset updated
    May 17, 2013
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Philadelphia Metropolitan Area, Maryland, Pennsylvania, New Jersey
    Description

    Graph and download economic data for CredAbility Consumer Distress Index for Philadelphia-Camden-Wilmington, PA-NJ-DE-MD (MSA) (DISCONTINUED) (CCDIOA37980Q156N) from Q1 2005 to Q1 2013 about DE, Philadelphia, NJ, MD, PA, financial, consumer, and USA.

  3. Bolivia Household Survey: Economic Burden Index

    • ceicdata.com
    Updated Sep 15, 2022
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    CEICdata.com (2022). Bolivia Household Survey: Economic Burden Index [Dataset]. https://www.ceicdata.com/en/bolivia/household-survey-employment-indicators/household-survey-economic-burden-index
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    Dataset updated
    Sep 15, 2022
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2017
    Area covered
    Bolivia
    Variables measured
    Job Market Indicators
    Description

    Bolivia Household Survey: Economic Burden Index data was reported at 60.300 % in 2017. This records an increase from the previous number of 52.400 % for 2016. Bolivia Household Survey: Economic Burden Index data is updated yearly, averaging 54.370 % from Dec 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 63.820 % in 2015 and a record low of 47.500 % in 2001. Bolivia Household Survey: Economic Burden Index data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Bolivia – Table BO.G007: Household Survey: Employment Indicators (Discontinued).

  4. Bolivia Household Survey: Economic Burden Index: Male

    • ceicdata.com
    Updated Sep 15, 2022
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    CEICdata.com (2022). Bolivia Household Survey: Economic Burden Index: Male [Dataset]. https://www.ceicdata.com/en/bolivia/household-survey-employment-indicators/household-survey-economic-burden-index-male
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    Dataset updated
    Sep 15, 2022
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2017
    Area covered
    Bolivia
    Variables measured
    Job Market Indicators
    Description

    Bolivia Household Survey: Economic Burden Index: Male data was reported at 38.200 % in 2017. This records an increase from the previous number of 33.400 % for 2016. Bolivia Household Survey: Economic Burden Index: Male data is updated yearly, averaging 36.510 % from Dec 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 42.130 % in 2012 and a record low of 31.750 % in 2001. Bolivia Household Survey: Economic Burden Index: Male data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Bolivia – Table BO.G007: Household Survey: Employment Indicators (Discontinued).

  5. Data set for: Attitude, burden, and needs of parents of children with...

    • figshare.com
    tar
    Updated Jun 21, 2022
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    Ifeoma Onwuakagba; Emmanuel Okoye; Leonard Simon; Uchenna Okonkwo; Maduabuchi Nwankwo (2022). Data set for: Attitude, burden, and needs of parents of children with cerebral palsy in a poor-resource country [Dataset]. http://doi.org/10.6084/m9.figshare.20109812.v6
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    tarAvailable download formats
    Dataset updated
    Jun 21, 2022
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Ifeoma Onwuakagba; Emmanuel Okoye; Leonard Simon; Uchenna Okonkwo; Maduabuchi Nwankwo
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Materials and methods Study design and Sample This cross-sectional study involved 90 parents of children with CP consecutively recruited from physiotherapy out-patient clinics of seven purposively selected public tertiary hospitals in different states in southeast Nigeria. The hospitals were chosen due to their potential to yield a large sample size. The ethical approval for the study was sought and obtained from the Ethical Review Committee of XXXX (blinded) before the commencement of the data collection. Informed consent was got from each participant after a thorough explanation of the study protocol and aims to them. The participants were adult (18 years and above) primary caregivers who were well-oriented in person, place and time. A sample size of 90 had 84% power to detect a moderate change of 0.3 at alpha level of significance of 0.05. The sample size was calculated using G-power statistical package 3.0.10 (Faul et al., 2007). Data collection lasted for four months from February to May 2021. The Parents’ Attitude Scale, the Caregivers Strain Index and the Family Need Assessment Questionnaires were used to assess the attitude, burden, and needs of the participants respectively. The questionnaires were either self- or researcher-administered to each participant depending on the participant’s preference.

    Research Instruments. Parents’ Attitude Scale: This is a 15-item survey questionnaire designed to assess parental attitudes towards their children. The questionnaire covered parental attitudes and feelings towards their children’s disability, competency and independency. Its items were either positive or negative, and are rated using a 5-point Likert-type scale. The positive items are scored from 5 (strongly agree) to 1 (strongly disagree) while the negative items are scored from 1 (strongly agree) to 5 (strongly disagree). The levels of attitudes are got by extracting the range for each item, and dividing by three (5–1 = 4, 4÷3 = 1.33). The quotient (1.33) is then serially added to 1 (the lowest score) to get the following ranges: 3.68–5 (positive attitude), 2.34–3.67 (neutral attitude), and 2.33–1 (negative attitude). The questionnaire has a reliability coefficient of 0.815 (Al-Dababneh & Al-Zboon, 2018).

    The Modified Caregiver Strain Index: This is a questionnaire with 13 items developed in 2003 to measure burden/strain associated with caregiving. The major domains are financial, physical, psychological, social, and personal, which are each represented by at least an item. Each 'yes' response is scored 2; 'sometimes' is scored 1; and ‘no’ is scored 0. Scoring ranges from 26 to 0 with a higher score indicating a higher level of caregiver strain. The questionnaire has a reliability coefficient of 0.90 (Thornton & Travis, 2003; Travis et al., 2003).

    Family Needs Survey: This is a 35-item questionnaire used in assessing the needs of parents of children with cerebral palsy (Bailey Jr & Simeonsson, 1988). It is grouped into six areas of needs: information, support, explaining to others, community services, financial needs, and family functioning. Each item is rated on a 3-point scale: 1 =‘I definitely do not need help’, 2 =‘Not sure’, and 3 =‘I definitely need help’. The scores are summated to get the composite score. Higher scores indicate greater needs. It has displayed adequate 6-month period test-retest reliability (0.67-0.81), and internal consistency (Cronbach’s alpha=0.91 for the total score; 0.65-0.86 for the six areas of need) (Sexto et al., 1992).

    Data analysis Data obtained were analysed using the SPSS version 21. The socio-demographic profiles of the participants and the questionnaire scores were summarised using descriptive statistics (percentages, frequency counts, means, range, and standard deviation). The gender and occupational differences in attitude, burden, and needs among the participants were assessed using Mann Whitney U and Kruskal-Wallis tests respectively. The relationships between attitude, burden, needs, age, and educational attainment of the participants were assessed using Spearman correlation at 0.05 level of significance.

  6. F

    CredAbility Consumer Distress Index for Housing (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated May 17, 2013
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    (2013). CredAbility Consumer Distress Index for Housing (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/CCDIHSQ156N
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    jsonAvailable download formats
    Dataset updated
    May 17, 2013
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CredAbility Consumer Distress Index for Housing (DISCONTINUED) (CCDIHSQ156N) from Q1 1980 to Q1 2013 about consumer, housing, and USA.

  7. Bolivia Household Survey: Economic Burden Index: Female

    • ceicdata.com
    Updated Sep 15, 2022
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    CEICdata.com (2022). Bolivia Household Survey: Economic Burden Index: Female [Dataset]. https://www.ceicdata.com/en/bolivia/household-survey-employment-indicators/household-survey-economic-burden-index-female
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    Dataset updated
    Sep 15, 2022
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2005 - Dec 1, 2017
    Area covered
    Bolivia
    Variables measured
    Job Market Indicators
    Description

    Bolivia Household Survey: Economic Burden Index: Female data was reported at 88.900 % in 2017. This records an increase from the previous number of 76.100 % for 2016. Bolivia Household Survey: Economic Burden Index: Female data is updated yearly, averaging 76.110 % from Dec 1999 (Median) to 2017, with 17 observations. The data reached an all-time high of 98.530 % in 2015 and a record low of 66.260 % in 2001. Bolivia Household Survey: Economic Burden Index: Female data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Bolivia – Table BO.G007: Household Survey: Employment Indicators (Discontinued).

  8. Tax burden sub-score of Egypt on the Economic Freedom Index 2000-2020

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Tax burden sub-score of Egypt on the Economic Freedom Index 2000-2020 [Dataset]. https://www.statista.com/statistics/1168507/tax-burden-sub-score-of-egypt-on-the-economic-freedom-index/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Egypt
    Description

    As of 2020, the tax burden sub-score on the Economic Freedom Index for Egypt was ****. This was an increase of *** points from the preceding year. Between 2000 and 2020, the tax burden value ranged between **** points in 2006 and **** points in 2008. For the period under review, the Egyptian tax burden score was below the world average from 2000 to 2006, and the African average from 2001 to 2006. In 2007, the sub-score improved significantly by **** points from 2006, and remained higher than both averages until 2020. This occurred due to a new income tax in June 2005, as well as a unified corporate law. According to the index, the score for tax burden in Egypt was considered "free" from 2007 to 2020.

  9. Tax burden sub-score of Ethiopia on the Economic Freedom Index 2000-2020

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Tax burden sub-score of Ethiopia on the Economic Freedom Index 2000-2020 [Dataset]. https://www.statista.com/statistics/1167247/tax-burden-sub-score-of-ethiopia-on-the-economic-freedom-index/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Ethiopia
    Description

    In 2020, the tax burden sub-score on the Economic Freedom Index for Ethiopia was ****, which was an improvement of *** points from 2019. During the period under review, the tax burden sub-score followed an overall increasing trend, with the values ranging between **** points in 2000 and **** points in 2010. From 2000 to 2010, the sub-score was lower than the African average only in two years. Compared to the world average, the sub-score was higher in 2002, 2005, between 2007 and 2010, between 2014 and 2016, and in 2020. According to the index, the tax burden in Ethiopia was considered "mostly free" as of 2020.

  10. Bolivia Continuous Employment Survey (CES): Economic Burden Index

    • ceicdata.com
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    CEICdata.com, Bolivia Continuous Employment Survey (CES): Economic Burden Index [Dataset]. https://www.ceicdata.com/en/bolivia/continuous-employment-survey-employment-indicators/continuous-employment-survey-ces-economic-burden-index
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    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2021 - Sep 1, 2024
    Area covered
    Bolivia
    Description

    Bolivia Continuous Employment Survey (CES): Economic Burden Index data was reported at 26.494 % in Mar 2025. This records a decrease from the previous number of 26.556 % for Dec 2024. Bolivia Continuous Employment Survey (CES): Economic Burden Index data is updated quarterly, averaging 35.623 % from Dec 2015 (Median) to Mar 2025, with 35 observations. The data reached an all-time high of 53.292 % in Mar 2016 and a record low of 26.494 % in Mar 2025. Bolivia Continuous Employment Survey (CES): Economic Burden Index data remains active status in CEIC and is reported by National Statistics Institute. The data is categorized under Global Database’s Bolivia – Table BO.G004: Continuous Employment Survey: Employment Indicators.

  11. F

    CredAbility Consumer Distress Index for Hartford-West Hartford-East...

    • fred.stlouisfed.org
    json
    Updated May 17, 2013
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    (2013). CredAbility Consumer Distress Index for Hartford-West Hartford-East Hartford, CT (MSA) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/CCDIOA25540Q156N
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    jsonAvailable download formats
    Dataset updated
    May 17, 2013
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    East Hartford, Hartford County, Connecticut, West Hartford
    Description

    Graph and download economic data for CredAbility Consumer Distress Index for Hartford-West Hartford-East Hartford, CT (MSA) (DISCONTINUED) (CCDIOA25540Q156N) from Q1 2005 to Q1 2013 about Hartford, CT, financial, consumer, and USA.

  12. Foreign Exchange Market Asymmetries and Its Micromanagement in a Small...

    • figshare.com
    xlsx
    Updated Oct 17, 2020
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    Devendra Jain; Rup Singh; Arvind Patel (2020). Foreign Exchange Market Asymmetries and Its Micromanagement in a Small Economy Model -: Evidence from Fiji _Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.12971888.v2
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    xlsxAvailable download formats
    Dataset updated
    Oct 17, 2020
    Dataset provided by
    figshare
    Authors
    Devendra Jain; Rup Singh; Arvind Patel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Fiji
    Description

    The data set is used to calculate Exchange Market Pressure Index for Fiji. The dataset also include other independent variables used in OLS estimation.

  13. f

    The data sets used in Figs 6–12 are all from...

    • figshare.com
    zip
    Updated Jun 2, 2023
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    Yanyu Zhuang; Hua Wei (2023). The data sets used in Figs 6–12 are all from https://datasetsearch.research.google.com/. [Dataset]. http://doi.org/10.1371/journal.pone.0286685.s001
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    zipAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yanyu Zhuang; Hua Wei
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data sets used in Figs 6–12 are all from https://datasetsearch.research.google.com/.

  14. Tax burden sub-score of Tunisia on the Economic Freedom Index 2000-2020

    • statista.com
    Updated Nov 15, 2022
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    Statista (2022). Tax burden sub-score of Tunisia on the Economic Freedom Index 2000-2020 [Dataset]. https://www.statista.com/statistics/1167954/tax-burden-sub-score-of-tunisia-on-the-economic-freedom-index/
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    Dataset updated
    Nov 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Tunisia
    Description

    As of 2020, the tax burden sub-score on the Economic Freedom Index for Tunisia was 74.2 points. Thus, the tax burden in the country was considered "mostly free". Between 2000 and 2020, the tax burden score fluctuated between 68.7 points in 2001 and 76.5 points in 2009. The score was higher than the African average between 2000 and 2010 as well as in 2012, while it was below the continent average in 2011 and from 2013 to 2020. In comparison to the world average, the Tunisian tax burden scored higher than the world average in 2000, 2001, 2008, and 2009.

  15. F

    CredAbility Consumer Distress Index (DISCONTINUED)

    • fred.stlouisfed.org
    json
    Updated May 17, 2013
    + more versions
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    (2013). CredAbility Consumer Distress Index (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/graph/?s[1][id]=CCDIOAQ156N
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    jsonAvailable download formats
    Dataset updated
    May 17, 2013
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CredAbility Consumer Distress Index (DISCONTINUED) from Q1 1980 to Q1 2013 about financial, consumer, and USA.

  16. Italy DI: HH: CE: CG: Pressure from Competition: From Other Banks

    • ceicdata.com
    Updated May 14, 2018
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    CEICdata.com (2018). Italy DI: HH: CE: CG: Pressure from Competition: From Other Banks [Dataset]. https://www.ceicdata.com/en/italy/bank-lending-survey/di-hh-ce-cg-pressure-from-competition-from-other-banks
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    Dataset updated
    May 14, 2018
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 2015 - Apr 1, 2018
    Area covered
    Italy
    Variables measured
    Loans
    Description

    Italy DI: HH: CE: CG: Pressure from Competition: From Other Banks data was reported at 0.000 Index in Jul 2018. This stayed constant from the previous number of 0.000 Index for Apr 2018. Italy DI: HH: CE: CG: Pressure from Competition: From Other Banks data is updated quarterly, averaging 0.000 Index from Jan 2003 (Median) to Jul 2018, with 63 observations. The data reached an all-time high of 0.000 Index in Jul 2018 and a record low of -0.143 Index in Jan 2003. Italy DI: HH: CE: CG: Pressure from Competition: From Other Banks data remains active status in CEIC and is reported by Bank of Italy. The data is categorized under Global Database’s Italy – Table IT.KB015: Bank Lending Survey.

  17. f

    Selection and calculation methods of structural variables for financial...

    • plos.figshare.com
    xls
    Updated Mar 8, 2024
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    Binhong Wu; Hongyu Wang; Bangsheng Xie; Zhizhong Xie (2024). Selection and calculation methods of structural variables for financial system stress index and energy market index. [Dataset]. http://doi.org/10.1371/journal.pone.0298811.t001
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    xlsAvailable download formats
    Dataset updated
    Mar 8, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Binhong Wu; Hongyu Wang; Bangsheng Xie; Zhizhong Xie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Selection and calculation methods of structural variables for financial system stress index and energy market index.

  18. Tax burden score of Indonesia on Economic Freedom ranking 1995-2018

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Tax burden score of Indonesia on Economic Freedom ranking 1995-2018 [Dataset]. https://www.statista.com/statistics/949745/indonesia-tax-burden-score-on-the-economic-freedom-index/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Indonesia
    Description

    This statistic describes the tax burden score of Indonesia on the Economic Freedom Index ranking from 1995 to 2018. According to the 2018 ranking, Indonesia reached a tax burden score of **** compared to the world average with ****. With this result, Indonesia´s tax burden is considered to be economically free.

  19. f

    Data_Sheet_1_Risk of psychological distress by decrease in economic...

    • figshare.com
    pdf
    Updated Jun 2, 2023
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    Minji Kim; Byungyoon Yun; Juho Sim; Ara Cho; Juyeon Oh; Jooyoung Kim; Kowit Nambunmee; Laura S. Rozek; Jin-Ha Yoon (2023). Data_Sheet_1_Risk of psychological distress by decrease in economic activity, gender, and age due to COVID-19: A multinational study.PDF [Dataset]. http://doi.org/10.3389/fpubh.2023.1056768.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Minji Kim; Byungyoon Yun; Juho Sim; Ara Cho; Juyeon Oh; Jooyoung Kim; Kowit Nambunmee; Laura S. Rozek; Jin-Ha Yoon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionCoronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2-virus. COVID-19 has officially been declared as the latest in the list of pandemics by WHO at the start of 2020. This study investigates the associations among decrease in economic activity, gender, age, and psychological distress during the COVID-19 pandemic considering the economic status and education level of countries using multinational surveys.MethodsOnline self-report questionnaires were administered in 15 countries which were spontaneously participate to 14,243 respondents in August 2020. Prevalence of decrease in economic activity and psychological distress was stratified by age, gender, education level, and Human Development Index (HDI). With 7,090 of female (49.8%), mean age 40.67, 5,734 (12.75%) lost their job and 5,734 (40.26%) suffered from psychological distress.ResultsAssociations among psychological distress and economic status, age, and gender was assessed using multivariate logistic regression, adjusted for country and education as random effects of the mixed model. We then measured the associations between HDI and age using multivariate logistic regression. Women had a higher prevalence of psychological distress than men with 1.067 Odds ratio, and younger age was significantly associated with decrease in economic activity for 0.998 for age increasing. Moreover, countries with lower HDI showed a higher prevalence of decrease in economic activity, especially at lower education levels.DiscussionPsychological distress due to COVID-19 revealed a significant association with decrease in economic activity, women, and younger age. While the proportion of decrease in economic activity population was different for each country, the degree of association of the individual factors was the same. Our findings are relevant, as women in high HDI countries and low education level in lower HDI countries are considered vulnerable. Policies and guidelines for both financial aid and psychological intervention are recommended.

  20. F

    CredAbility Consumer Distress Index for San Antonio-New Braunfels, TX (MSA)...

    • fred.stlouisfed.org
    json
    Updated May 17, 2013
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    (2013). CredAbility Consumer Distress Index for San Antonio-New Braunfels, TX (MSA) (DISCONTINUED) [Dataset]. https://fred.stlouisfed.org/series/CCDIOA41700Q156N
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    jsonAvailable download formats
    Dataset updated
    May 17, 2013
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Greater San Antonio, Texas
    Description

    Graph and download economic data for CredAbility Consumer Distress Index for San Antonio-New Braunfels, TX (MSA) (DISCONTINUED) (CCDIOA41700Q156N) from Q1 2005 to Q1 2013 about San Antonio, financial, consumer, TX, and USA.

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CSBS Community Bank Sentiment, Regulatory Burden Index [Dataset]. https://fred.stlouisfed.org/series/CBSIRB

CSBS Community Bank Sentiment, Regulatory Burden Index

CBSIRB

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jsonAvailable download formats
Dataset updated
Jul 8, 2025
License

https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

Description

Graph and download economic data for CSBS Community Bank Sentiment, Regulatory Burden Index (CBSIRB) from Q2 2019 to Q2 2025 about community, business sentiment, burdened, banks, depository institutions, indexes, and USA.

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