Liberia Policy and Institutions
Liberia LR: CPIA: Business Regulatory Environment Rating: 1=Low To 6=High
LR: CPIA: Business Regulatory Environment Rating: 1=Low To 6=High data was reported at 3.000 NA in 2017. This stayed constant from the previous number of 3.000 NA for 2016. LR: CPIA: Business Regulatory Environment Rating: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.000 NA in 2017 and a record low of 3.000 NA in 2017. LR: CPIA: Business Regulatory Environment Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Business regulatory environment assesses the extent to which the legal, regulatory, and policy environments help or hinder private businesses in investing, creating jobs, and becoming more productive.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Business Regulatory Environment Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Debt Policy Rating: 1=Low To 6=High
LR: CPIA: Debt Policy Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. LR: CPIA: Debt Policy Rating: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 2.500 NA in 2009. LR: CPIA: Debt Policy Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Debt policy assesses whether the debt management strategy is conducive to minimizing budgetary risks and ensuring long-term debt sustainability.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Debt Policy Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Economic Management Cluster Average: 1=Low To 6=High
LR: CPIA: Economic Management Cluster Average: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. LR: CPIA: Economic Management Cluster Average: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 3.167 NA in 2009. LR: CPIA: Economic Management Cluster Average: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. The economic management cluster includes macroeconomic management, fiscal policy, and debt policy.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Economic Management Cluster Average: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Efficiency of Revenue Mobilization Rating: 1=Low To 6=High
LR: CPIA: Efficiency of Revenue Mobilization Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. LR: CPIA: Efficiency of Revenue Mobilization Rating: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 3.500 NA in 2017. LR: CPIA: Efficiency of Revenue Mobilization Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Efficiency of revenue mobilization assesses the overall pattern of revenue mobilization--not only the de facto tax structure, but also revenue from all sources as actually collected.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Efficiency of Revenue Mobilization Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Equity of Public Resource Use Rating: 1=Low To 6=High
LR: CPIA: Equity of Public Resource Use Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. LR: CPIA: Equity of Public Resource Use Rating: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 4.000 NA in 2013 and a record low of 3.000 NA in 2009. LR: CPIA: Equity of Public Resource Use Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Equity of public resource use assesses the extent to which the pattern of public expenditures and revenue collection affects the poor and is consistent with national poverty reduction priorities.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Equity of Public Resource Use Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Financial Sector Rating: 1=Low To 6=High
LR: CPIA: Financial Sector Rating: 1=Low To 6=High data was reported at 2.500 NA in 2017. This stayed constant from the previous number of 2.500 NA for 2016. LR: CPIA: Financial Sector Rating: 1=Low To 6=High data is updated yearly, averaging 2.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 2.500 NA in 2017 and a record low of 2.500 NA in 2017. LR: CPIA: Financial Sector Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Financial sector assesses the structure of the financial sector and the policies and regulations that affect it.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Financial Sector Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Fiscal Policy Rating: 1=Low To 6=High
LR: CPIA: Fiscal Policy Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. LR: CPIA: Fiscal Policy Rating: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 3.500 NA in 2017. LR: CPIA: Fiscal Policy Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Fiscal policy assesses the short- and medium-term sustainability of fiscal policy (taking into account monetary and exchange rate policy and the sustainability of the public debt) and its impact on growth.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Fiscal Policy Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Gender Equality Rating: 1=Low To 6=High
LR: CPIA: Gender Equality Rating: 1=Low To 6=High data was reported at 3.000 NA in 2017. This stayed constant from the previous number of 3.000 NA for 2016. LR: CPIA: Gender Equality Rating: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.000 NA in 2017 and a record low of 2.500 NA in 2010. LR: CPIA: Gender Equality Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Gender equality assesses the extent to which the country has installed institutions and programs to enforce laws and policies that promote equal access for men and women in education, health, the economy, and protection under law.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Gender Equality Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Macroeconomic Management Rating: 1=Low To 6=High
LR: CPIA: Macroeconomic Management Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. LR: CPIA: Macroeconomic Management Rating: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 3.500 NA in 2017. LR: CPIA: Macroeconomic Management Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. Macroeconomic management assesses the monetary, exchange rate, and aggregate demand policy framework.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Macroeconomic Management Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High
LR: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High data was reported at 3.100 NA in 2017. This records an increase from the previous number of 3.000 NA for 2016. LR: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.100 NA in 2017 and a record low of 2.500 NA in 2009. LR: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank.WDI: Policy and Institutions. The policies for social inclusion and equity cluster includes gender equality, equity of public resource use, building human resources, social protection and labor, and policies and institutions for environmental sustainability.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Policies for Social Inclusion/Equity Cluster Average: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High
LR: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High data was reported at 3.000 NA in 2017. This stayed constant from the previous number of 3.000 NA for 2016. LR: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.000 NA in 2017 and a record low of 2.000 NA in 2009. LR: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Policy and institutions for environmental sustainability assess the extent to which environmental policies foster the protection and sustainable use of natural resources and the management of pollution.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Policy and Institutions For Environmental Sustainability Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High
LR: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High data was reported at 2.500 NA in 2017. This stayed constant from the previous number of 2.500 NA for 2016. LR: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High data is updated yearly, averaging 2.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 2.500 NA in 2017 and a record low of 2.500 NA in 2017. LR: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Property rights and rule-based governance assess the extent to which private economic activity is facilitated by an effective legal system and rule-based governance structure in which property and contract rights are reliably respected and enforced.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Property Rights and Rule-Based Governance Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Public Sector Management and Institutions Cluster Average: 1=Low To 6=High
LR: CPIA: Public Sector Management and Institutions Cluster Average: 1=Low To 6=High data was reported at 2.900 NA in 2017. This stayed constant from the previous number of 2.900 NA for 2016. LR: CPIA: Public Sector Management and Institutions Cluster Average: 1=Low To 6=High data is updated yearly, averaging 2.900 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 2.900 NA in 2017 and a record low of 2.800 NA in 2012. LR: CPIA: Public Sector Management and Institutions Cluster Average: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. The public sector management and institutions cluster includes property rights and rule-based governance, quality of budgetary and financial management, efficiency of revenue mobilization, quality of public administration, and transparency, accountability, and corruption in the public sector.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.90 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Public Sector Management and Institutions Cluster Average: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Quality of Budgetary and Financial Management Rating: 1=Low To 6=High
LR: CPIA: Quality of Budgetary and Financial Management Rating: 1=Low To 6=High data was reported at 3.000 NA in 2017. This stayed constant from the previous number of 3.000 NA for 2016. LR: CPIA: Quality of Budgetary and Financial Management Rating: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.000 NA in 2017 and a record low of 2.500 NA in 2012. LR: CPIA: Quality of Budgetary and Financial Management Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Quality of budgetary and financial management assesses the extent to which there is a comprehensive and credible budget linked to policy priorities, effective financial management systems, and timely and accurate accounting and fiscal reporting, including timely and audited public accounts.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Quality of Budgetary and Financial Management Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Quality of Public Administration Rating: 1=Low To 6=High
LR: CPIA: Quality of Public Administration Rating: 1=Low To 6=High data was reported at 2.500 NA in 2017. This stayed constant from the previous number of 2.500 NA for 2016. LR: CPIA: Quality of Public Administration Rating: 1=Low To 6=High data is updated yearly, averaging 2.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 2.500 NA in 2017 and a record low of 2.500 NA in 2017. LR: CPIA: Quality of Public Administration Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Quality of public administration assesses the extent to which civilian central government staff is structured to design and implement government policy and deliver services effectively.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Quality of Public Administration Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Social Protection Rating: 1=Low To 6=High
LR: CPIA: Social Protection Rating: 1=Low To 6=High data was reported at 2.500 NA in 2017. This stayed constant from the previous number of 2.500 NA for 2016. LR: CPIA: Social Protection Rating: 1=Low To 6=High data is updated yearly, averaging 2.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 2.500 NA in 2017 and a record low of 2.500 NA in 2017. LR: CPIA: Social Protection Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Social protection and labor assess government policies in social protection and labor market regulations that reduce the risk of becoming poor, assist those who are poor to better manage further risks, and ensure a minimal level of welfare to all people.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Social Protection Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Structural Policies Cluster Average: 1=Low To 6=High
LR: CPIA: Structural Policies Cluster Average: 1=Low To 6=High data was reported at 3.000 NA in 2017. This stayed constant from the previous number of 3.000 NA for 2016. LR: CPIA: Structural Policies Cluster Average: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.000 NA in 2017 and a record low of 2.833 NA in 2012. LR: CPIA: Structural Policies Cluster Average: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. The structural policies cluster includes trade, financial sector, and business regulatory environment.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Structural Policies Cluster Average: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Trade Rating: 1=Low To 6=High
LR: CPIA: Trade Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This stayed constant from the previous number of 3.500 NA for 2016. LR: CPIA: Trade Rating: 1=Low To 6=High data is updated yearly, averaging 3.500 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 3.000 NA in 2012. LR: CPIA: Trade Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Trade assesses how the policy framework fosters trade in goods.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.50 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Trade Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: CPIA: Transparency: Accountability: and Corruption in The Public Sector Rating: 1=Low To 6=High
LR: CPIA: Transparency: Accountability: and Corruption in The Public Sector Rating: 1=Low To 6=High data was reported at 3.000 NA in 2017. This stayed constant from the previous number of 3.000 NA for 2016. LR: CPIA: Transparency: Accountability: and Corruption in The Public Sector Rating: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.000 NA in 2017 and a record low of 3.000 NA in 2017. LR: CPIA: Transparency: Accountability: and Corruption in The Public Sector Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Transparency, accountability, and corruption in the public sector assess the extent to which the executive can be held accountable for its use of funds and for the results of its actions by the electorate and by the legislature and judiciary, and the extent to which public employees within the executive are required to account for administrative decisions, use of resources, and results obtained. The three main dimensions assessed here are the accountability of the executive to oversight institutions and of public employees for their performance, access of civil society to information on public affairs, and state capture by narrow vested interests.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: CPIA: Transparency: Accountability: and Corruption in The Public Sector Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: Country Policy and Institutional Assessment (CPIA): Building Human Resources Rating: 1=Low To 6=High
LR: Country Policy and Institutional Assessment (CPIA): Building Human Resources Rating: 1=Low To 6=High data was reported at 3.500 NA in 2017. This records an increase from the previous number of 3.000 NA for 2016. LR: Country Policy and Institutional Assessment (CPIA): Building Human Resources Rating: 1=Low To 6=High data is updated yearly, averaging 3.000 NA from Dec 2009 (Median) to 2017, with 9 observations. The data reached an all-time high of 3.500 NA in 2017 and a record low of 2.500 NA in 2011. LR: Country Policy and Institutional Assessment (CPIA): Building Human Resources Rating: 1=Low To 6=High data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Building human resources assesses the national policies and public and private sector service delivery that affect the access to and quality of health and education services, including prevention and treatment of HIV/AIDS, tuberculosis, and malaria.; ; World Bank Group, CPIA database (http://www.worldbank.org/ida).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2016 | yearly | 2009 - 2016 |
View Liberia's Liberia LR: Country Policy and Institutional Assessment (CPIA): Building Human Resources Rating: 1=Low To 6=High from 2009 to 2016 in the chart:
Liberia LR: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 1=Yes; 0=No
LR: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This records an increase from the previous number of 0.000 NA for 2015. LR: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2013 (Median) to 2017, with 3 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 0.000 NA in 2015. LR: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Law mandates equal remuneration for females and males for work of equal value is whether there is a law that obligates employers to pay equal remuneration to male and female employees who do work of equal value.“Remuneration” refers to the ordinary, basic or minimum wage or salary and any additional emoluments payable directly or indirectly, whether in cash or in kind, by the employer to the worker and arising out of the worker’s employment. “Work of equal value” refers not only to the same or similar jobs but also to different jobs of the same value.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2017 | yearly | 2013 - 2017 |
View Liberia's Liberia LR: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 1=Yes; 0=No from 2013 to 2017 in the chart:
Liberia LR: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No
LR: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This records an increase from the previous number of 0.000 NA for 2015. LR: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 0.000 NA in 2015. LR: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Law mandates nondiscrimination based on gender in hiring is whether the law specifically prevents or penalizes gender-based discrimination in the hiring process; the law may prohibit discrimination in employment on the basis of gender but be silent about whether job applicants are protected from discrimination. Hiring refers to the process of employing a person for wages and making a selection by presenting a candidate with a job offer. Job advertisements, selection criteria and recruitment, although equally important, are not considered “hiring” for purposes of this question.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2017 | yearly | 2009 - 2017 |
View Liberia's Liberia LR: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No from 2009 to 2017 in the chart:
Liberia LR: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No
LR: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. LR: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. LR: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Law mandates paid or unpaid maternity leave is whether there is a law mandating paid or unpaid maternity leave available only to the mother. Provisions for circumstantial leave by which an employee is entitled to a certain number of days of paid leave (usually fewer than five days) upon the birth of a child are considered paternity leave; even if the law is gender-neutral, such leave is not considered maternity leave if the law covers maternity leave elsewhere.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2017 | yearly | 2009 - 2017 |
View Liberia's Liberia LR: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No from 2009 to 2017 in the chart:
Liberia LR: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No
LR: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. LR: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2015 (Median) to 2017, with 2 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. LR: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Law prohibits or invalidates child or early marriage is whether there are provisions that prevent the marriage of girls, boys, or both before they reach the legal age of marriage or the age of marriage with consent, including, for example, a prohibition on registering the marriage or provisions stating that such a marriage is null and void.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2017 | yearly | 2015 - 2017 |
View Liberia's Liberia LR: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No from 2015 to 2017 in the chart:
Liberia LR: Legislation Exists on Domestic Violence: 1=Yes; 0=No
LR: Legislation Exists on Domestic Violence: 1=Yes; 0=No data was reported at 0.000 NA in 2017. This stayed constant from the previous number of 0.000 NA for 2015. LR: Legislation Exists on Domestic Violence: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2013 (Median) to 2017, with 3 observations. LR: Legislation Exists on Domestic Violence: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Legislation exists on domestic violence is whether there is legislation addressing domestic violence: violence between spouses, within the family or members of the same household, or in interpersonal relationships, including intimate partner violence that is subject to criminal sanctions or provides for protection orders for domestic violence, or the legislation addresses “cruel, inhuman or degrading treatment” or “harassment” that clearly affects physical or mental health, and it is implied that such behavior is considered domestic violence.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2017 | yearly | 2013 - 2017 |
View Liberia's Liberia LR: Legislation Exists on Domestic Violence: 1=Yes; 0=No from 2013 to 2017 in the chart:
Liberia LR: Methodology Assessment of Statistical Capacity: Scale 0 - 100
LR: Methodology Assessment of Statistical Capacity: Scale 0 - 100 data was reported at 40.000 NA in 2017. This stayed constant from the previous number of 40.000 NA for 2016. LR: Methodology Assessment of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 10.000 NA from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 40.000 NA in 2017 and a record low of 0.000 NA in 2004. LR: Methodology Assessment of Statistical Capacity: Scale 0 - 100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. The methodology indicator measures a country’s ability to adhere to internationally recommended standards and methods. The methodology score is calculated as the weighted average of 10 underlying indicator scores. The final methodology score contributes 1/3 of the overall Statistical Capacity Indicator score.; ; World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 40.00 2017 | yearly | 2004 - 2017 |
View Liberia's Liberia LR: Methodology Assessment of Statistical Capacity: Scale 0 - 100 from 2004 to 2017 in the chart:
Liberia LR: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No
LR: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This records an increase from the previous number of 0.000 NA for 2015. LR: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 0.000 NA in 2015. LR: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Mothers are guaranteed an equivalent position after maternity leave is whether employers of women returning from maternity leave are legally obligated to provide them with an equivalent position after maternity leave. It takes into account paid and unpaid maternity leave and captures whether the employer has a legal obligation to reinstate the returning employee in an equivalent or better position and salary than the employee had pre-leave. Where the maternity leave regime explicitly states that the employee may not be indefinitely replaced, the answer is assumed to be “Yes.” Where the maternity leave regime explicitly establishes a suspension of the employee’s contract, the answer is assumed to be “Yes.” In economies that also have parental leave and the law guarantees return after the leave to the same or an equivalent position paid at the same rate but is silent on guaranteeing the same position after maternity leave, the answer is “Yes.” The answer is “N/A” if no paid or unpaid maternity leave is available.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2017 | yearly | 2009 - 2017 |
View Liberia's Liberia LR: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No from 2009 to 2017 in the chart:
Liberia LR: Nondiscrimination Clause Mentions Gender in the Constitution: 1=Yes; 0=No
LR: Nondiscrimination Clause Mentions Gender in the Constitution: 1=Yes; 0=No data was reported at 0.000 NA in 2011. This stayed constant from the previous number of 0.000 NA for 2009. LR: Nondiscrimination Clause Mentions Gender in the Constitution: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2009 (Median) to 2011, with 2 observations. LR: Nondiscrimination Clause Mentions Gender in the Constitution: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Nondiscrimination clause mentions gender in the constitution is whether there is a nondiscrimination clause in the constitution which mentions gender. For the answer to be “Yes,” the constitution must use either the word discrimination or the word nondiscrimination or even when there is a “clawback” provision granting exceptions to the nondiscrimination clause for certain areas of the law, such as inheritance, family and customary law. The answer is “No” if there is no nondiscrimination provision, or the nondiscrimination language is present in the preamble but not in an article of the constitution, or there is a provision that merely stipulates that the sexes are equal, or the sexes have equal rights and obligations. The answer is 'N/A' if there is no nondiscrimination provision.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2011 | yearly | 2009 - 2011 |
View Liberia's Liberia LR: Nondiscrimination Clause Mentions Gender in the Constitution: 1=Yes; 0=No from 2009 to 2011 in the chart:
Liberia LR: Nonpregnant and Nonnursing Women Can Do the Same Jobs as Men: 1=Yes; 0=No
LR: Nonpregnant and Nonnursing Women Can Do the Same Jobs as Men: 1=Yes; 0=No data was reported at 1.000 NA in 2017. This stayed constant from the previous number of 1.000 NA for 2015. LR: Nonpregnant and Nonnursing Women Can Do the Same Jobs as Men: 1=Yes; 0=No data is updated yearly, averaging 1.000 NA from Dec 2009 (Median) to 2017, with 5 observations. The data reached an all-time high of 1.000 NA in 2017 and a record low of 1.000 NA in 2017. LR: Nonpregnant and Nonnursing Women Can Do the Same Jobs as Men: 1=Yes; 0=No data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Non-pregnant and non-nursing women can do the same jobs as men indicates whether there are specific jobs that women explicitly or implicitly cannot perform except in limited circumstances. Both partial and full restrictions on women’s work are counted as restrictions. For example, if women are only allowed to work in certain jobs within the mining industry, e.g., as health care professionals within mines but not as miners, this is a restriction.; ; World Bank: Women, Business and the Law.; ;
| Last | Frequency | Range |
|---|---|---|
| 1.00 2017 | yearly | 2009 - 2017 |
View Liberia's Liberia LR: Nonpregnant and Nonnursing Women Can Do the Same Jobs as Men: 1=Yes; 0=No from 2009 to 2017 in the chart:
Liberia LR: Overall Level of Statistical Capacity: Scale 0 - 100
LR: Overall Level of Statistical Capacity: Scale 0 - 100 data was reported at 60.000 NA in 2017. This records an increase from the previous number of 57.778 NA for 2016. LR: Overall Level of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 36.667 NA from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 60.000 NA in 2017 and a record low of 16.667 NA in 2004. LR: Overall Level of Statistical Capacity: Scale 0 - 100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. The Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. Countries are scored against 25 criteria in these areas, using publicly available information and/or country input. The overall Statistical Capacity score is then calculated as a simple average of all three area scores on a scale of 0-100.; ; World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 60.00 2017 | yearly | 2004 - 2017 |
View Liberia's Liberia LR: Overall Level of Statistical Capacity: Scale 0 - 100 from 2004 to 2017 in the chart:
Liberia LR: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100
LR: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100 data was reported at 80.000 NA in 2017. This records an increase from the previous number of 73.333 NA for 2016. LR: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 65.000 NA from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 80.000 NA in 2017 and a record low of 50.000 NA in 2004. LR: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. The periodicity and timeliness indicator assesses the availability and periodicity of key socioeconomic indicators. It measures the extent to which data are made accessible to users through transformation of source data into timely statistical outputs. The periodicity score is calculated as the weighted average of 10 underlying indicator scores. The final periodicity score contributes 1/3 of the overall Statistical Capacity Indicator score.; ; World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 80.00 2017 | yearly | 2004 - 2017 |
View Liberia's Liberia LR: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100 from 2004 to 2017 in the chart:
Liberia LR: Proportion of Seats Held by Women in National Parliaments
LR: Proportion of Seats Held by Women in National Parliaments data was reported at 12.300 % in 2017. This records an increase from the previous number of 11.000 % for 2016. LR: Proportion of Seats Held by Women in National Parliaments data is updated yearly, averaging 11.000 % from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 12.500 % in 2010 and a record low of 5.300 % in 2004. LR: Proportion of Seats Held by Women in National Parliaments data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.; ; Inter-Parliamentary Union (IPU) (www.ipu.org).; Weighted average; General cut off date is end-December. Relevance to gender indicator: Women are vastly underrepresented in decision making positions in government, although there is some evidence of recent improvement. Gender parity in parliamentary representation is still far from being realized. Without representation at this level, it is difficult for women to influence policy.
| Last | Frequency | Range |
|---|---|---|
| 12.30 2017 | yearly | 2000 - 2017 |
View Liberia's Liberia LR: Proportion of Seats Held by Women in National Parliaments from 2000 to 2017 in the chart:
Liberia LR: Source Data Assessment of Statistical Capacity: Scale 0 - 100
LR: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data was reported at 60.000 NA in 2017. This stayed constant from the previous number of 60.000 NA for 2016. LR: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 35.000 NA from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 60.000 NA in 2017 and a record low of 0.000 NA in 2007. LR: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Liberia – Table LR.World Bank: Policy and Institutions. The source data indicator reflects whether a country conducts data collection activities in line with internationally recommended periodicity, and whether data from administrative systems are available. The source data score is calculated as the weighted average of 5 underlying indicator scores. The final source data score contributes 1/3 of the overall Statistical Capacity Indicator score.; ; World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).; Unweighted average;
| Last | Frequency | Range |
|---|---|---|
| 60.00 2017 | yearly | 2004 - 2017 |