Belarus

Country code: 
BLR
ISO2 code: 
BY
ISO3 code: 
BLR
WB Country Code: 
BY

Legislation exists on sexual harassment in employment (1=yes; 0=no)

Legislation exists on sexual harassment in employment is whether there is a law or provision that specifically protects against sexual harassment in the workplace or in employment, including unwelcome sexual advances, requests for sexual favors, verbal or physical conduct or gestures of a sexual nature, annoyance if understood to include harassment with sexual content, or any other behavior of a sexual nature that might reasonably be expected or be perceived to cause offense or humiliation to another in connection with employment, including provisions on inducing indecent or lewd behavior c

Agriculture, forestry, and fishing, value added per worker (constant 2010 US$)

Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2010 U.S. dollars. Agriculture corresponds to the International Standard Industrial Classification (ISIC) tabulation categories A and B (revision 3) or tabulation category A (revision 4), and includes forestry, hunting, and fishing as well as cultivation of crops and livestock production.

Industry (including construction), value added per worker (constant 2010 US$)

Value added per worker is a measure of labor productivity—value added per unit of input. Value added denotes the net output of a sector after adding up all outputs and subtracting intermediate inputs. Data are in constant 2010 U.S. dollars. Industry corresponds to the International Standard Industrial Classification (ISIC) tabulation categories C-F (revision 3) or tabulation categories B-F (revision 4), and includes mining and quarrying (including oil production), manufacturing, construction, and public utilities (electricity, gas, and water).

Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, female (%)

Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).

Mortality from CVD, cancer, diabetes or CRD between exact ages 30 and 70, male (%)

Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).

Terrestrial Biodiversity indicators

Description: 

Biodiversity indicator values (scores) for grid cells at 1-kilometer resolution, based on:

  • Total counts of mammals, birds, amphibians and reptiles identified from over 25,000 range maps of species received from IUCN and Birdlife International
  • Total counts of critically endangered and endangered mammals, birds, amphibians and reptiles
  • Endemicity score (based on presence of endemic species/ species unique to the region)
  • Extinction risks for species over 50, 100 and 500 years
  • Biome vulnerability, identified from the WWF ecoregions
...
Type: 
Geospatial

BRI Database, Reed and Trubetskoy 2019

Description: 

Replication files and instructions for Reed, Tristan; Trubetskoy, Alexandr. 2019. Assessing the Value of Market Access from Belt and Road Projects (English). Policy Research working paper; no. WPS 8815.

Type: 
Other

Bureaucrats in Business: The Economics and Politics of Government Ownership

Description: 

This report examines the economic problems that arise when governments own and operate enterprises that could be managed by the private sector. It draws on a rich database and detailed country case studies to provide the most comprehensive assessment yet of a decade of divestiture and reform of state-owned enterprises. It evaluates the experiences of 12 countries, some of which have reformed successfully, and some which did not.

Type: 
Time Series

Women who own a house both alone and jointly (% of women age 15-49): Q1 (lowest)

Women who own house both alone and jointly (% of women age 15-49): Q1 (lowest) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.

Women who own a house both alone and jointly (% of women age 15-49): Q2

Women who own house both alone and jointly (% of women age 15-49): Q2 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.

Women who own a house both alone and jointly (% of women age 15-49): Q3

Women who own house both alone and jointly (% of women age 15-49): Q3 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.

Women who own a house both alone and jointly (% of women age 15-49): Q4

Women who own house both alone and jointly (% of women age 15-49): Q4 is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.

Women who own a house both alone and jointly (% of women age 15-49): Q5 (highest)

Women who own house both alone and jointly (% of women age 15-49): Q5 (highest) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.

Women who own a house both alone and jointly (% of women age 15-49)

Women who own house both alone and jointly (% of women age 15-49) is the percentage of women age 15-49 who alone as well as jointly with someone else own a house which is legally registered with their name or cannot be sold without their signature. "Both alone and jointly" Implies a woman owns a house alone and another house jointly with someone else.