PPT-FAO Work in the Area of Gender Statistics

FAO amp Gender 2 main areas of work in which the effort of mainstreaming gender is taking place food security statistics agricultural statistics Food Security area output 1 Sexdisaggregated . Haoyi. Chen. Social . and Housing Statistics Section. United Nations Statistics Division. Outline. Global Gender Statistics . Programme. Overview. Main areas of work. EDGE project. Global Gender Statistics Programme. Session . 7. Dissemination and Communication. of Gender Statistics. S. erena . Lake Kivu Hotel. , . Rubavu. District. March 25-27, 2014. 1. Learning Objectives. At the completion of the module, participants should understand:. . Haoyi. Chen. Social and Housing Statistics Section. United . Nations Statistics Division. Sex. = a biological . individual. characteristic recorded during data collection in censuses, surveys or administrative sources. Read this if you want to . learn:. Why statistical data about your local area is important. What statistical information is available for public use. How to find & present data . about your local area using:. Solomon Islands Presentation. 4 – 8 August 2014. Novotel Hotel. Nadi. , Fiji. SIG Key . ‘Gender’ . Commitments. International . & Regional . Commitments. CEDAW & CRC. MDGs. Beijing Platform for Action. 2018 WHM conference . Dr. Larry Lesser, Professor, Dept. of Mathematical Sciences (Lesser@utep.edu). my related dissemination. : . Mathematics Teacher . op-ed & letter; . b. ook chapter on persisting through statistics anxiety; JSM paper on . Session outline. Health and statistics. Gender and health. Data sources. Understanding key gender indicators. Practical exercise. Some determinants of health. :. Sex. (biology). Women need access to health care during pregnancy. the . Istat. experience. Workshop on Gender Statistics, Moldova, 3 - 4 November 2015. Maria Giuseppina Muratore. An important instrument to know what women and men have. different roles in society. Wachyu. . Winarsih. , . M.Si. Head of . Sub . Directorate . of . Labor . Force . Statistics. Directorate of Population and Labor Force . Statistics. BPS - Statistics . Indonesia. 1. Contents. 2. BPS - Statistics Indonesia. Learning Objectives. 1. Become familiar with . the concepts of data users, data producers and statistical production processes. Understand the importance of aligning the needs of users with the supply of gender data. Barbara . Cobo. Coordinator of Population and Social Indicators Division. IBGE - Brazilian Institute of Statistics and Geography. 9th Meeting of the Inter-agency and Expert Group on Gender Statistics . Ghana. 9. th. Meeting of the Inter-agency and Expert Group on . Gende. r. . 29-30 October 2015. Bangkok, Thailand. Ernestina Hope . Turkson. Senior. . Statistician. Ghana Statistical Service. 2. nd. gender-sensitive workplace. Session 6: Analysis and validation of data. Reconciling . s. ources of evidence. 2. Iterative Process - Feedback Loops. Identifying root causes. In the analysis, it is important to distinguish symptoms from root causes. . Workshop on the . Implementation of the . 2008 . SNA in . EECCA countries and linkages with BPM6 and GFSM 2014. Istanbul, 6-8 May 2015. Gabriel . Quirós. Head of Division. Macroeconomic Statistics.