Palau Policy and Institutions
Palau PW: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 1=Yes; 0=No
PW: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 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. PW: 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 2015 (Median) to 2017, with 2 observations. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 0.00 2017 | yearly | 2015 - 2017 |
View Palau's Palau PW: Law Mandates Equal Remuneration for Females & Males for Work of Equal Value: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No
PW: Law Mandates Nondiscrimination Based on Gender in Hiring: 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. PW: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2015 (Median) to 2017, with 2 observations. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 0.00 2017 | yearly | 2015 - 2017 |
View Palau's Palau PW: Law Mandates Nondiscrimination Based on Gender in Hiring: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No
PW: Law Mandates Paid or Unpaid Maternity Leave: 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. PW: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2015 (Median) to 2017, with 2 observations. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 0.00 2017 | yearly | 2015 - 2017 |
View Palau's Palau PW: Law Mandates Paid or Unpaid Maternity Leave: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No
PW: 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. PW: 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. PW: 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 Palau – Table PW.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 Palau's Palau PW: Law Prohibits or Invalidates Child or Early Marriage: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Legislation Exists on Domestic Violence: 1=Yes; 0=No
PW: Legislation Exists on Domestic Violence: 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. PW: Legislation Exists on Domestic Violence: 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. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 1.00 2017 | yearly | 2015 - 2017 |
View Palau's Palau PW: Legislation Exists on Domestic Violence: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Methodology Assessment of Statistical Capacity: Scale 0 - 100
PW: Methodology Assessment of Statistical Capacity: Scale 0 - 100 data was reported at 30.000 NA in 2017. This records a decrease from the previous number of 40.000 NA for 2016. PW: Methodology Assessment of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 10.000 NA from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 40.000 NA in 2016 and a record low of 0.000 NA in 2011. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 30.00 2017 | yearly | 2005 - 2017 |
View Palau's Palau PW: Methodology Assessment of Statistical Capacity: Scale 0 - 100 from 2005 to 2017 in the chart:
Palau PW: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No
PW: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 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. PW: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No data is updated yearly, averaging 0.000 NA from Dec 2015 (Median) to 2017, with 2 observations. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 0.00 2017 | yearly | 2015 - 2017 |
View Palau's Palau PW: Mothers are Guaranteed an Equivalent Position After Maternity Leave: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Nondiscrimination Clause Mentions Gender in the Constitution: 1=Yes; 0=No
PW: Nondiscrimination Clause Mentions Gender in the Constitution: 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. PW: Nondiscrimination Clause Mentions Gender in the Constitution: 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. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 1.00 2017 | yearly | 2015 - 2017 |
View Palau's Palau PW: Nondiscrimination Clause Mentions Gender in the Constitution: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Nonpregnant and Nonnursing Women Can Do the Same Jobs as Men: 1=Yes; 0=No
PW: 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. PW: 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 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. PW: 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 Palau – Table PW.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 | 2015 - 2017 |
View Palau's Palau PW: Nonpregnant and Nonnursing Women Can Do the Same Jobs as Men: 1=Yes; 0=No from 2015 to 2017 in the chart:
Palau PW: Overall Level of Statistical Capacity: Scale 0 - 100
PW: Overall Level of Statistical Capacity: Scale 0 - 100 data was reported at 45.556 NA in 2017. This records a decrease from the previous number of 48.889 NA for 2016. PW: Overall Level of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 34.444 NA from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 48.889 NA in 2016 and a record low of 30.000 NA in 2011. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 45.56 2017 | yearly | 2005 - 2017 |
View Palau's Palau PW: Overall Level of Statistical Capacity: Scale 0 - 100 from 2005 to 2017 in the chart:
Palau PW: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100
PW: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100 data was reported at 56.667 NA in 2017. This stayed constant from the previous number of 56.667 NA for 2016. PW: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 53.333 NA from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 56.667 NA in 2017 and a record low of 50.000 NA in 2014. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 56.67 2017 | yearly | 2005 - 2017 |
View Palau's Palau PW: Periodicity and Timeliness Assessment of Statistical Capacity: Scale 0 - 100 from 2005 to 2017 in the chart:
Palau PW: Proportion of Seats Held by Women in National Parliaments
PW: Proportion of Seats Held by Women in National Parliaments data was reported at 12.500 % in 2017. This records an increase from the previous number of 0.000 % for 2016. PW: Proportion of Seats Held by Women in National Parliaments data is updated yearly, averaging 0.000 % from Dec 1997 (Median) to 2017, with 21 observations. The data reached an all-time high of 12.500 % in 2017 and a record low of 0.000 % in 2016. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 12.50 2017 | yearly | 1997 - 2017 |
View Palau's Palau PW: Proportion of Seats Held by Women in National Parliaments from 1997 to 2017 in the chart:
Palau PW: Source Data Assessment of Statistical Capacity: Scale 0 - 100
PW: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data was reported at 50.000 NA in 2017. This stayed constant from the previous number of 50.000 NA for 2016. PW: Source Data Assessment of Statistical Capacity: Scale 0 - 100 data is updated yearly, averaging 40.000 NA from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 50.000 NA in 2017 and a record low of 40.000 NA in 2015. PW: 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 Palau – Table PW.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 |
|---|---|---|
| 50.00 2017 | yearly | 2005 - 2017 |