Facilitation Tips and Handouts for Making Population Real Training Sessions The training PowerPoint presentations accompany the following handouts. Tips for facilitating each session are also provided. Training Sessions* at a Glance * Exception: Training sessions for Population Fundamentals and People on the Move have not been developed, but basic information about these lesson plans is included in this table. PRB Lesson Plan Titles 1. Population Fundamentals 2. The Demographic Transition 3. Populations in the Path of Natural Hazards 4. HIV/AIDS & Contemporary Population Dynamics 5. Population Policy Progress Since Cairo 6. People on the Move 7. Global Migration Patterns Population Issues and Concepts - Basic terms - Population growth - Development - Age-dependency ratio - Classic model of demographic transition - Recent patterns of demographic transition - Population growth - Development - Human & natural impacts of settlement in stormprone areas - Population density - Population distribution - Geographic mobility - HIV/AIDS - Effects of income, age, gender, etc., on disease rates - Changing death rates - Regional differences - International population policy - Gender and development - Population growth - Women s empowerment - Internal U.S. migration - Migration within students state - Mobility - Push and pull factors - Immigration - Ethnicity - Composition and structure of population - Refugees (not part of training session) Tools - Definitions - Bar chart - Age-sex graph (population pyramid) - Line graphs - The demographic transition model - Population distribution maps - Weather data - Line graphs - Choropleth maps - Gender analysis - Data tables - Human Development Index - Line graphs - Choropleth maps - Line graph - Age-sex graphs (population pyramid) Materials Needed - Graphing paper - Pencils - Erasers 3 different colors of pens or markers 5 different colors of pencils for each group Pens or pencils - Graphing paper - Pencils - Calculators Handouts Needed Training session not developed - Data for Graphing - Data Tables - Florida-Caribbean outline map - Color printouts of the 1995-2006 storm track data - Deadliest storms 1851-2004 - Costliest storms 1900-2004 - AIDS Cases (per 100,000) by State, 2001-2002 (2 pages) - Blank Map of the United States - Evaluating the Status of Women and Children in Africa - The Data Collection Sheets (multiple pages) - Human Development Report Data Table (multiple pages) Training session not developed - Immigration by Region of Last Residence - Blank Age-Sex Graph - U.S. Population Data by Age Group Copyright 2007, Population Reference Bureau. All rights reserved.
Making Population Real Lesson Plan 5: Population Policy Progress Since Cairo Tips for Facilitating This Training Session General Description of the Lesson Plan Student Activities and Exercises: 1. The Cairo Conference Population Policy and Development Discuss the role of the 1994 Cairo Conference 2. Development Policy Planning for All People? Discuss indicators of socioeconomic well-being Compare aggregate data to data broken down by gender and age (For more detail about these activities, see the actual lesson plans at www.prb.org/educators.aspx) Focus Area(s) for This Training Session This training session provides a basic framework for discussing the importance of population and development policy and thinking critically about the gender-biases in assessments. During the session, participants discuss the importance of women s empowerment to social development efforts to practice raising this topic with their students. Participants also learn techniques for working with students to think critically about data for evaluating the well-being of women and children. Materials Needed PopPolCairo PowerPoint presentation Pens Group Size 4-6 people Handouts Needed (following this page) Evaluating the Status of Women and Children in Africa; one copy per group The Data Collection Sheets; four copies per group Human Development Report Data Table (multiple pages); one or two copies per group General Guidance for Carrying Out a 45-Minute Session (Training sessions with more than 20 participants would require an hour or more) Introduction: Introduce yourself and the topic by reviewing slides 1-5 (5 minutes) Overview: Review content on slides 6-12, engaging a discussion with slide 8 (10 minutes) Gender Assessment: Break the room into groups at slide 13, distribute the handouts, and walk everyone through the activity, as described in the notes for slide 13 (15 minutes) Discussion: At slide 16, have each group share their ranking of the African countries and facilitate the discussion (10 minutes) -For large sessions (>20), additional time would be necessary for each group to share. Wrap up: Spend the last 5 minutes on the final slides (#17-21) introducing the full lesson plan, Making Population Real, and PRB (5 minutes) For 3-hour workshop: If you are using these materials as a part of the 3-hour workshop, omit the last four slides (18-21), as you ll have covered them with the Overview presentation about Making Population Real and PRB. Copyright 2007, Population Reference Bureau. All rights reserved.
Evaluating the Status of Women and Children in Africa Selected Indicators: Health Life Expectancy at Birth, male/female Maternal Mortality Ratio (maternal deaths/100,000 live births - reported) Infant Mortality Rate (deaths under age 1/1,000 live births) Under-5 Mortality Rate (deaths under age 5/1,000 live births) Total Fertility Rate (births per woman) Education Adult Literacy Rate (% ages 15 and above), male/female Quality of Life Infants with Low Birthweight (%) Children Underweight for Age (% under age five) Economy / Employment GDP per capita (PPP US$) Female economic activity rate (% of male rate, ages 15 and above) Estimated Earned Income (PPP US$), male/female Women in government at ministerial level (as % of total) Note: This list of indicators is based on the Human Development Index by the United Nations Development Program.
Data Collection Sheet Evaluation Indicator: Country HDI Value (relative rank) Indicator Values Rank (1-22) According to This Indicator South Africa Botswana Sudan Cameroon Uganda Zimbabwe Kenya Madagascar Nigeria Senegal Rwanda Tanzania Cote d Ivoire Zambia Angola Chad D.R. of Congo (Zaire) Ethiopia Mozambique Mali Burkina Faso Niger All Developing Countries High Income Countries World
Human Development Index MONITORING HUMAN DEVELOPMENT: ENLARGING PEOPLE'S CHOICES Total fertility rate (births per woman) Children underweight for age (% under age 5) Infants with low birthweight (%) Infant mortality rate (per 1,000 live births) HDI Rank 1970-75a 2000-05a 1995-2002b 1998-2002b 1970 2002 Medium Human Development 119 South Africa 5.4 z 2.6 z 12 z 15 z.. z 52 z 128 Botswana 6.7 z 3.7 z 13 z 10 z 99 z 80 z 139 Sudan 6.7 z 4.4 z 17 z 31 z 104 z 64 z 141 Cameroon 6.3 z 4.6 z 21 z 11 z 127 z 95 z Low Human Development 146 Uganda 7.1 z 7.1 z 23 z 12 z 100 z 82 z 147 Zimbabwe 7.6 z 3.9 z 13 z 11 z 86 z 76 z 148 Kenya 8.1 z 4 z 21 z 11 z 96 z 78 z 150 Madagascar 6.6 z 5.7 z 33 z 14 z 109 z 84 z 151 Nigeria 6.9 z 5.4 z 36 l 12 z 120 z 110 z 157 Senegal 7 z 5 z 23 z 18 z 164 z 79 z 159 Rwanda 8.3 z 5.7 z 27 z 9 z 124 z 96 z 162 Tanzania, U. Rep. of 6.8 z 5.1 z 29 z 13 z 129 z 104 z 163 Côte d'ivoire 7.4 z 4.7 z 21 z 17 z 158 z 102 z 164 Zambia 7.8 z 5.6 z 28 z 10 z 109 z 108 z 166 Angola 6.6 z 7.2 z 31 z 12 z 180 z 154 z 167 Chad 6.7 z 6.7 z 28 z 17 l.. z 117 z 168 Congo, Dem. Rep. of the 6.5 z 6.7 z 31 z 12 z 148 z 129 z 170 Ethiopia 6.8 z 6.1 z 47 z 15 z 160 z 114 z 171 Mozambique 6.6 z 5.6 z 26 z 14 l 163 z 125 z 174 Mali 7.1 z 7 z 33 z 23 z 225 z 122 z 175 Burkina Faso 7.8 z 6.7 z 34 z 19 z 163 z 107 z 176 Niger 8.1 z 8 z 40 z 17 z 197 z 156 z All developing countries 5.4 z 2.9 z.. T z.. T z 108 z 61 z High-income OECD 2.2 z 1.7 z.. T z.. T z 22 z 5 z World 4.5 z 2.7 z.. T z.. T z 96 z 56 z
Under-five mortality rate (per 1,000 live births) Maternal mortality ratio reported (per 100,000 live births) GDP per capita (PPP US$) Life expectancy at birth, female (years) Life expectancy at birth, male (years) HDI Rank 1970 2002 1985-2002c,d 2002 2002 2002 Medium Human Development 119 South Africa.. z 65 z 150 z 10,070 z 51.9 z 46 z 128 Botswana 142 z 110 z 330 z 8,170 z 42.3 z 40.4 z 139 Sudan 172 z 94 z 550 z 1,820 z 57 z 54.1 z 141 Cameroon 215 z 166 z 430 z 2,000 z 48.1 z 45.6 z Low Human Development 146 Uganda 170 z 141 z 510 z 1,390 z 46.4 z 44.9 z 147 Zimbabwe 138 z 123 z 700 z 2,370 i 33.5 z 34.3 z 148 Kenya 156 z 122 z 590 z 1,020 z 46.4 z 44 z 150 Madagascar 180 z 136 z 490 z 740 z 54.6 z 52.3 z 151 Nigeria 201 z 183 z.. z 860 z 52 z 51.2 z 157 Senegal 279 z 138 z 560 z 1,580 z 54.9 z 50.6 z 159 Rwanda 209 z 183 z 1,100 z 1,270 z 39.4 z 38.4 z 162 Tanzania, U. Rep. of 218 z 165 z 530 z 580 z 44.4 z 42.7 z 163 Côte d'ivoire 239 z 176 z 600 z 1,520 z 41.5 z 40.9 z 164 Zambia 181 z 192 z 650 z 840 z 32.5 z 32.9 z 166 Angola 300 z 260 z.. z 2,130 z 41.5 z 38.8 z 167 Chad.. z 200 z 830 z 1,020 z 45.7 z 43.6 z 168 Congo, Dem. Rep. of the 245 z 205 z 950 z 650 z 42.4 z 40.4 z 170 Ethiopia 239 z 171 z 870 z 780 z 46.4 z 44.6 z 171 Mozambique 278 z 197 z 1,100 z 1,050 z 40 z 36.9 z 174 Mali 400 z 222 z 580 z 930 z 49 z 47.9 z 175 Burkina Faso 290 z 207 z 480 z 1,100 z 46.3 z 45.1 z 176 Niger 330 z 265 z 590 z 800 z 46.3 z 45.7 z All developing countries 166 z 89 z.. T z 4,054 z.. z.. z High-income OECD 28 z 7 z.. T z 29,000 z.. z.. z World 146 z 81 z.. T z 7,804 z.. z.. z
HDI Rank Adult Adult Estimated Estimated Female Women literacy literacy earned earned economic in rate, rate, income, income, activity government female male female male rate at (% ages 15 (% ages 15 (PPP US$) (PPP US$) (% of male ministerial and above) and above) rate, ages 15 level and above) (as % of total) 2002e 2002e 2002f 2002f 2002 2001g Medium Human Development 119 South Africa 85.3 z 86.7 z 6,371 z 14,202 z 59 z 38.1 z 128 Botswana 81.5 z 76.1 z 5,353 z 10,550 z 77 z 26.7 z 139 Sudan 49.1 z 70.8 z 867 z 2,752 z 41 z 5.1 z 141 Cameroon 59.8 h 77 h 1,235 z 2,787 z 59 z 5.8 z Low Human Development 146 Uganda 59.2 z 78.8 z 1,088 z 1,651 z 88 z 27.1 z 147 Zimbabwe 86.3 z 93.8 z 1,757 j 3,059 j 78 z 36 z 148 Kenya 78.5 z 90 z 962 z 1,067 z 85 z 1.4 z 150 Madagascar 60.6 k 74.2 k 534 z 906 z 78 z 12.5 z 151 Nigeria 59.4 z 74.4 z 562 z 1,322 z 56 z 22.6 z 157 Senegal 29.7 z 49 z 1,140 z 2,074 z 72 z 15.6 z 159 Rwanda 63.4 z 75.3 z 968 z 1,570 z 88 z 13 z 162 Tanzania, U. Rep. of 69.2 z 85.2 z 467 z 660 z 93 z.. z 163 Côte d'ivoire 38.4 k 60.3 k 818 z 2,222 z 51 z 9.1 z 164 Zambia 73.8 z 86.3 z 571 z 1,041 z 74 z 6.2 z 166 Angola.. z.. z 1,627 z 2,626 z 82 z 14.7 z 167 Chad 37.5 z 54.5 z 760 z 1,284 z 77 z.. z 168 Congo, Dem. Rep. of the 51.8 k 74.2 k 467 z 846 z 72 z.. z 170 Ethiopia 33.8 z 49.2 z 516 z 1,008 z 67 z 22.2 z 171 Mozambique 31.4 z 62.3 z 840 z 1,265 z 92 z.. z m 174 Mali 11.9 m,n 26.7,n 635 z 1,044 z 79 z 33.3 z m 175 Burkina Faso 8.1 m,n 18.5,n 855 z 1,215 z 85 z 8.6 z 176 Niger 9.3 z 25.1 z 575 z 1,005 z 75 z 10 z All developing countries.. z.. z.. z.. z 67 z.. z High-income OECD.. z.. z.. z.. z 74 z.. z World.. z.. z.. z.. z 69 z.. z
As a result of limitations in the data, comparisons of labour statistics over time and across countries should be made with caution. For detailed notes on the data, see ILO (2002. Estimates and Projections of the Economically Active Population 1950-2010, 4th ed., rev. 2. Database. Geneva), ILO (2003. Key Indicators of the Labour Market, third edition [http://kilm.ilo.org/kilm/]) and ILO (2004. Laboursta Database. [http://laborsta.ilo.org]. March 2004). The percentage shares of employment by economic activity may not sum to 100 because of rounding or the omission of activities not classified. Notes: a. Data refer to estimates for the period specified. b. Data refer to the most recent year available during the period specified. c. Data refer to the most recent year available during the period specified. d. Annual number of deaths of women from pregnancy-related causes. The reported column shows figures reported by national authorities. The adjusted column shows results of adjusted figures based on reviews by the United Nations Children's Fund (UNICEF), World Health Organization (WHO) and United Nations Population Fund (UNFPA) to account for well-documented problems of underreporting and misclassifications. e. Data refer to estimates or projections produced by UNESCO Institute for Statistics in 2002, unless otherwise specified. Due to differences in methodology and timeliness of underlying data, comparisons across countries and over time should be made with caution. f. Because of the lack of gender-disaggregated income data, female and male earned income are crudely estimated on the basis of data on the ratio of the female non-agricultural wage to the male non-agricultural wage, the female and male shares of the economically active population, the total female and male population and GDP per capita (PPP US$) (see the technical note 1). Estimates are based on data for the most recent year available during 1991-2000, unless otherwise specified. g. Data were provided by states based on their definition of national executive and may therefore include women serving as ministers and vice ministers and those holding other ministerial positions, including parliamentary secretaries. h. Survey data. i. Data refer to 2001. j. Calculated on the basis of GDP per capita (PPP US$) for 2000. k. UNESCO Institute for Statistics. 2003. Correspondence on adult and youth literacy rates. March. Montreal. Data are subject to revision. l. Data refer to a year or period other than that specified, differ from the standard definition or refer to only part of the country. m. Census data. n. Data refer to a year between 1995 and 1999. Source: Column 1: UN (United Nations), 2003. World Population Prospects 1950-2050: The 2002 Revision. Database. Department of Economic and Social Affairs, Population Division. Column 2: UNICEF (United Nations Children s Fund). 2003. The State of the World s Children 2004. New York: Oxford University Press. Column 3: UNICEF (United Nations Children s Fund). 2003. The State of the World s Children 2004. New York: Oxford University Press. Column 4: UNICEF (United Nations Children s Fund). 2004. Correspondence on infant and under-five mortality rates. March. New York. Column 5: UNICEF (United Nations Children s Fund). 2003. The State of the World s Children 2004. New York: Oxford University Press. Column 6: UNICEF (United Nations Children s Fund). 2004. Correspondence on infant and under-five mortality rates. March. New York. Column 7: UNICEF (United Nations Children s Fund). 2003. The State of the World s Children 2004. New York: Oxford University Press. Column 8: UNICEF (United Nations Children s Fund). 2003. The State of the World s Children 2004. New York: Oxford University Press. Column 9: Calculated on the basis of GDP and population data from World Bank, 2004. World Development Indicators 2004. CD-ROM. Washington, DC.: Aggregates calculated for the Human Deve Column 10: UN (United Nations). 2003. World Population Prospects 1950-2050: The 2002 Revision. Database. Department of Economic and Social Affairs, Population Division. New York. Column 11: UN (United Nations). 2003. World Population Prospects 1950-2050: The 2002 Revision. Database. Department of Economic and Social Affairs, Population Division. New York. Column 12: UNESCO Institute for Statistics (United Nations Educational, Scientific and Cultural Organization). 2004. Correspondence on adult and youth literacy rates. March. Montreal. Unless otherwise noted Column 13: UNESCO Institute for Statistics (United Nations Educational, Scientific and Cultural Organization). 2004. Correspondence on adult and youth literacy rates. March. Montreal. Unless otherwise noted Column 14: Calculated on the basis of data on GDP per capita (PPP US$) from World Bank. 2004. World Development Indicators 2004. CD- ROM. Washington, DC. Column 16: Calculated on the basis of data on the economically active population & total population from ILO (International Labour Organization). 2002. Estimates & Projections of the Economically Active Population Column 17: IPU (Inter-Parliamentary Union). 2001. Correspondence on women in government at the ministerial level. March. Geneva.