The most comprehensive compilation of information on the status of
women in the world.

Latest items for Peru

Oct. 17, 2017, 7:03 a.m.
Countries: Ghana, India, Kenya, Peru, South Africa
Variables: SMES-DATA-1

"Earnings [among street vendors] also vary according to marital status: widows have the lowest median monthly earnings (68 USD) and those who never married have the highest (101 USD)" (12). This data is based on a survey of street venders that was conducted in Accra Ghana, Ahmedabad, India, Durban, South Africa, Lima, Peru and Nakuru, Kenya (TPJ - CODER COMMENT).
Oct. 17, 2017, 7 a.m.
Countries: Ghana, India, Kenya, Peru, South Africa
Variables: AFE-DATA-1

"Among street vendors in the five cities, men have significantly higher levels of education than women. While nearly one quarter of all women in the sample have no schooling at all, less than 1 per cent of men have no school at all; and more than half (56 per cent) of women have primary education or less, while one quarter of men have primary or less. Education levels are especially low in Ahmedabad, where 60 per cent of the all-female sample has never been to school" (11). This data is based on a survey of street venders that was conducted in Accra Ghana, Ahmedabad, India, Durban, South Africa, Lima, Peru ...more
Oct. 17, 2017, 6:57 a.m.
Countries: Peru
Variables: ERBG-DATA-5

"Among street vendors in the five cities, men have significantly higher levels of education than women. While nearly one quarter of all women in the sample have no schooling at all, less than 1 per cent of men have no school at all; and more than half (56 per cent) of women have primary education or less, while one quarter of men have primary or less" (11). The survey was conducted in Accra Ghana, Ahmedabad, India, Durban, South Africa, Lima, Peru and Nakuru, Kenya (TPJ - CODER COMMENT). "Overall, women are nearly twice as likely as men to sell produce, and men are nearly twice as likely as women to ...more
Sept. 25, 2017, 8:22 a.m.
Countries: Peru
Variables: MULTIVAR-SCALE-6

7.0
Sept. 1, 2017, 10:26 a.m.
Countries: Peru
Variables: LO-SCALE-1

2.0
Aug. 31, 2017, 11:31 a.m.
Countries: Peru
Variables: DTCP-PRACTICE-1

“A girl in Lima expressed that police often did not consider situations that made girls uncomfortable to be a real priority for them, saying ‘I called the police once because there was a man who was causing a commotion, he was drunk … but the police said no, is he breaking windows, is he destroying homes? If he is not doing that you cannot call them because they won’t do anything.’ When asked if she trusted the police, one girl in Lima said ‘sometimes yes, sometimes not because it sometimes turns out that some policemen are corrupt’” (26).
Aug. 31, 2017, 11:31 a.m.
Countries: Peru
Variables: DV-DATA-1

“Girls in Lima connected public and private expressions of violence against women and girls, explaining that high levels of domestic violence negatively affect their sense of safety in public spaces as well" (22).
Aug. 31, 2017, 11:31 a.m.
Countries: Peru
Variables: IIP-PRACTICE-1

“Their [adolescent girls’] worlds tended to revolve mainly around their families, especially their mothers and friends, and the places they go are usually limited to their homes, school or work, market places, and mosques” (20). “Adolescent girls perceive Lima as a dangerous city. Girls feel insecure to walk on the streets, and are greatly concerned with the high level of crimes in Lima. Only 2.2% of girls reported always feeling safe when using public transportation. Objects obstructing their vision in streets, poorly lit areas, stray dogs, uncollected garbage and debris, and lack of signage are additional elements that make girls feel unsafe in urban spaces” (22). “Girls in Lima connected ...more
Aug. 31, 2017, 11:31 a.m.
Countries: Peru
Variables: IIP-PRACTICE-2

“Girls identified the ring road that splits the focus area, Ezbet Khirallah, into two areas as the highest risk for their safety. … The tunnels that run under the road that link girls to schools and other areas in the community are poorly lit, long, have sewage floods, and are poorly maintained, putting girls at risk of sexual harassment when having to use them” (20). “Adolescent girls in Cairo also considered the kinds of businesses in the area that they passed on the way to their schools, workplaces, or markets to be a source for their feelings of insecurity. They noted that there are clusters of workshops, including carpentry and ...more
Aug. 31, 2017, 11:31 a.m.
Countries: Peru
Variables: NGOFW-DATA-3

“This issue of decision-making and inclusion were often highlighted by girls in all five cities. … Often because of no fault of their own, in each of the cities [including Lima] girls are relegated to passive observers or beneficiaries of the system rather than being consulted and valued as the agents of change” (27).
Aug. 31, 2017, 11:31 a.m.
Countries: Peru
Variables: ATFPA-PRACTICE-2

“In all of the cities, girls said that they did not feel included in decision-making processes at home or in the community at large” (28). “Research shows that over 41% of girls in Lima never or seldom participate in decisions that affect them" (29).
Aug. 31, 2017, 11:31 a.m.
Countries: Peru
Variables: CWC-DATA-4

“The focus areas for the BIAAG Urban Programme in Lima are the districts of Carabayllo, Ancon, Puente Piedra, and Ventanilla, all located in North Lima. … There are large numbers of migrant populations in these districts” (22).
Aug. 25, 2017, 1:11 p.m.
Countries: Peru
Variables: CBMC-DATA-1

“The highest rates of non-marital childbearing occur in Latin America, including … Peru (69 percent)” (para 13).
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: INFIB-SCALE-1

0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: AFE-SCALE-1

0.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: DACH-SCALE-1

1.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: DACH-SCALE-1

1.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: DACH-SCALE-2

1.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: BR-SCALE-1

1.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: MULTIVAR-SCALE-4

6.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: INFIB-SCALE-1

1.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: MARR-SCALE-3

0.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: GP-SCALE-1

1.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: MARR-SCALE-1

1.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: PW-SCALE-1

0.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: ABO-SCALE-1

3.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: MARR-SCALE-2

0.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: MARR-SCALE-2

0.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: ATC-SCALE-1

0.0
Aug. 23, 2017, 12:46 a.m.
Countries: Peru
Variables: ATC-SCALE-2

0.0