Joy Payton
Do reduced opportunities for women in the areas of education, health, politics, and work contribute to women’s belief that men are justified in striking their wives?
The World Bank has data on women’s opinions about men’s right to beat their wives from 74 countries. Some countries have several measurements of these fields that come from different years (coverage goes from 1991-2015). These data are gathered in six fields:
Women who believe a husband is justified in beating his wife when she refuses sex with him (%)
Women who believe a husband is justified in beating his wife when she goes out without telling him (%)
Women who believe a husband is justified in beating his wife when she neglects the children (%)
Women who believe a husband is justified in beating his wife when she burns the food (%)
Women who believe a husband is justified in beating his wife when she argues with him (%)
Women who believe a husband is justified in beating his wife (any of five reasons) (%)
The 74 countries for which we have data on at least some of the spousal violence opinion fields:
## [1] Albania Armenia Azerbaijan
## [4] Bangladesh Belize Benin
## [7] Bolivia Bosnia and Herzegovina Burkina Faso
## [10] Burundi Cambodia Cameroon
## [13] Colombia Comoros Congo, Dem. Rep.
## [16] Congo, Rep. Cote d'Ivoire Dominican Republic
## [19] Egypt, Arab Rep. Eritrea Ethiopia
## [22] Gabon Gambia, The Georgia
## [25] Ghana Guinea Guinea-Bissau
## [28] Guyana Haiti Honduras
## [31] India Indonesia Jordan
## [34] Kazakhstan Kenya Kyrgyz Republic
## [37] Lesotho Liberia Macedonia, FYR
## [40] Madagascar Malawi Maldives
## [43] Mali Moldova Mongolia
## [46] Montenegro Morocco Mozambique
## [49] Namibia Nepal Nicaragua
## [52] Niger Nigeria Pakistan
## [55] Peru Philippines Rwanda
## [58] Sao Tome and Principe Senegal Serbia
## [61] Sierra Leone Somalia Swaziland
## [64] Tajikistan Tanzania Timor-Leste
## [67] Togo Trinidad and Tobago Turkmenistan
## [70] Uganda Ukraine Vietnam
## [73] Zambia Zimbabwe
## 252 Levels: Afghanistan Albania Algeria American Samoa Andorra ... ZimbabweThere are additional data (163 fields in total) on women’s educational, career, and economic options from these countries (and from many other countries as well). Not all fields are represented in each country and the most complete data sets will end up being used. Below is the listing of these fields:
## Indicator.Name
## 1 Women's share of population ages 15+ living with HIV (%)
## 2 Wanted fertility rate (births per woman)
## 3 Unmet need for contraception (% of married women ages 15-49)
## 4 Teenage mothers (% of women ages 15-19 who have had children or are currently pregnant)
## 5 Adolescent fertility rate (births per 1,000 women ages 15-19)
## 6 Contraceptive prevalence (% of women ages 15-49)
## 7 Pregnant women receiving prenatal care (%)
## 8 Prevalence of anemia among non-pregnant women (% of women ages 15-49)
## 9 Prevalence of anemia among pregnant women (%)
## 10 Proportion of seats held by women in national parliaments (%)
## 11 Share of women in wage employment in the nonagricultural sector (% of total nonagricultural employment)
## 12 Adjusted net enrollment rate, primary, female (% of primary school age children)
## 13 Average working hours of children, study and work, female, ages 7-14 (hours per week)
## 14 Average working hours of children, working only, female, ages 7-14 (hours per week)
## 15 Child employment in manufacturing, female (% of female economically active children ages 7-14)
## 16 Child employment in services, female (% of female economically active children ages 7-14)
## 17 Children in employment, self-employed, female (% of female children in employment, ages 7-14)
## 18 Children in employment, study and work, female (% of female children in employment, ages 7-14)
## 19 Children out of school, primary, female
## 20 Children in employment, work only, female (% of female children in employment, ages 7-14)
## 21 Children in employment, wage workers, female (% of female children in employment, ages 7-14)
## 22 Children in employment, unpaid family workers, female (% of female children in employment, ages 7-14)
## 23 Female legislators, senior officials and managers (% of total)
## 24 Firms with female top manager (% of firms)
## 25 Female headed households (% of households with a female head)
## 26 Firms with female participation in ownership (% of firms)
## 27 Gross intake ratio in first grade of primary education, female (% of relevant age group)
## 28 Labor force participation rate for ages 15-24, female (%) (national estimate)
## 29 Life expectancy at birth, female (years)
## 30 Condom use, population ages 15-24, female (% of females ages 15-24)
## 31 Contributing family workers, female (% of females employed)
## 32 Children in employment, female (% of female children ages 7-14)
## 33 Child employment in agriculture, female (% of female economically active children ages 7-14)
## 34 Employment in industry, female (% of female employment)
## 35 Employment in services, female (% of female employment)
## 36 Employment to population ratio, 15+, female (%) (modeled ILO estimate)
## 37 Employment to population ratio, 15+, female (%) (national estimate)
## 38 Employment to population ratio, ages 15-24, female (%) (modeled ILO estimate)
## 39 Employment to population ratio, ages 15-24, female (%) (national estimate)
## 40 Employment in agriculture, female (% of female employment)
## 41 Employers, female (% of employment)
## 42 Labor force participation rate, female (% of female population ages 15+) (national estimate)
## 43 Labor force participation rate, female (% of female population ages 15-64) (modeled ILO estimate)
## 44 Labor force with primary education, female (% of female labor force)
## 45 Labor force with secondary education, female (% of female labor force)
## 46 Labor force with tertiary education, female (% of female labor force)
## 47 Labor force participation rate for ages 15-24, female (%) (modeled ILO estimate)
## 48 Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate)
## 49 Literacy rate, adult female (% of females ages 15 and above)
## 50 Literacy rate, youth female (% of females ages 15-24)
## 51 Long-term unemployment, female (% of female unemployment)
## 52 Lower secondary completion rate, female (% of relevant age group)
## 53 Labor force, female (% of total labor force)
## 54 Mortality rate, adult, female (per 1,000 female adults)
## 55 Mortality rate, infant, female (per 1,000 live births)
## 56 Mortality rate, under-5, female (per 1,000 live births)
## 57 Net intake rate in grade 1, female (% of official school-age population)
## 58 Prevalence of wasting, weight for height, female (% of children under 5)
## 59 Part time employment, female (% of total female employment)
## 60 Persistence to last grade of primary, female (% of cohort)
## 61 Population, female (% of total)
## 62 Prevalence of HIV, female (% ages 15-24)
## 63 Prevalence of overweight, weight for height, female (% of children under 5)
## 64 Prevalence of severe wasting, weight for height, female (% of children under 5)
## 65 Prevalence of stunting, height for age, female (% of children under 5)
## 66 Prevalence of underweight, weight for age, female (% of children under 5)
## 67 Persistence to grade 5, female (% of cohort)
## 68 Primary completion rate, female (% of relevant age group)
## 69 Primary education, pupils (% female)
## 70 Primary education, teachers (% female)
## 71 Progression to secondary school, female (%)
## 72 Part time employment, female (% of total part time employment)
## 73 Ratio of female to male labor force participation rate (%) (modeled ILO estimate)
## 74 Ratio of female to male labor force participation rate (%) (national estimate)
## 75 Repeaters, primary, female (% of female enrollment)
## 76 Repeaters, secondary, female (% of female enrollment)
## 77 School enrollment, preprimary, female (% gross)
## 78 School enrollment, primary, female (% gross)
## 79 School enrollment, primary, female (% net)
## 80 School enrollment, secondary, female (% gross)
## 81 School enrollment, secondary, female (% net)
## 82 School enrollment, tertiary, female (% gross)
## 83 Secondary education, general pupils (% female)
## 84 Secondary education, pupils (% female)
## 85 Secondary education, teachers (% female)
## 86 Secondary education, teachers, female
## 87 Secondary education, vocational pupils (% female)
## 88 Self-employed, female (% of females employed)
## 89 Share of youth not in education, employment or training, female (% of female youth population)
## 90 Smoking prevalence, females (% of adults)
## 91 Survival to age 65, female (% of cohort)
## 92 Tertiary education, academic staff (% female)
## 93 Trained teachers in primary education, female (% of female teachers)
## 94 Unemployment with primary education, female (% of female unemployment)
## 95 Unemployment with secondary education, female (% of female unemployment)
## 96 Unemployment with tertiary education, female (% of female unemployment)
## 97 Unemployment, female (% of female labor force) (modeled ILO estimate)
## 98 Unemployment, female (% of female labor force) (national estimate)
## 99 Unemployment, youth female (% of female labor force ages 15-24) (modeled ILO estimate)
## 100 Unemployment, youth female (% of female labor force ages 15-24) (national estimate)
## 101 Vulnerable employment, female (% of female employment)
## 102 Wage and salaried workers, female (% of females employed)
## 103
## 104 Literacy rate, adult male (% of males ages 15 and above)
## 105 Literacy rate, adult total (% of people ages 15 and above)
## 106 Literacy rate, youth (ages 15-24), gender parity index (GPI)
## 107 Literacy rate, youth male (% of males ages 15-24)
## 108 Literacy rate, youth total (% of people ages 15-24)
## 109 CPIA gender equality rating (1=low to 6=high)
## 110 School enrollment, primary (gross), gender parity index (GPI)
## 111 School enrollment, primary and secondary (gross), gender parity index (GPI)
## 112 School enrollment, secondary (gross), gender parity index (GPI)
## 113 School enrollment, tertiary (gross), gender parity index (GPI)
## 114 Poverty gap at $1.25 a day (PPP) (%)
## 115 Poverty gap at $2 a day (PPP) (%)
## 116 Poverty gap at national poverty lines (%)
## 117 Poverty headcount ratio at $1.25 a day (PPP) (% of population)
## 118 Poverty headcount ratio at $2 a day (PPP) (% of population)
## 119 Poverty headcount ratio at national poverty lines (% of population)
## 120 Rural poverty gap at national poverty lines (%)
## 121 Rural poverty headcount ratio at national poverty lines (% of rural population)
## 122 Urban poverty gap at national poverty lines (%)
## 123 Urban poverty headcount ratio at national poverty lines (% of urban population)
## 124 Adjusted savings: education expenditure (% of GNI)
## 125 Adjusted savings: education expenditure (current US$)
## 126 All education staff compensation, secondary (% of total expenditure in secondary public institutions)
## 127 All education staff compensation, tertiary (% of total expenditure in tertiary public institutions)
## 128 All education staff compensation, total (% of total expenditure in public institutions)
## 129 All education staff compensation, primary (% of total expenditure in primary public institutions)
## 130 Current education expenditure, secondary (% of total expenditure in secondary public institutions)
## 131 Current education expenditure, total (% of total expenditure in public institutions)
## 132 Current education expenditure, primary (% of total expenditure in primary public institutions)
## 133 Current education expenditure, tertiary (% of total expenditure in tertiary public institutions)
## 134 Expenditure on primary education (% of government expenditure on education)
## 135 Expenditure on secondary education (% of government expenditure on education)
## 136 Expenditure on tertiary education (% of government expenditure on education)
## 137 Government expenditure on education, total (% of government expenditure)
## 138 Gross intake ratio in first grade of primary education, male (% of relevant age group)
## 139 Government expenditure on education, total (% of GDP)
## 140 Gross intake ratio in first grade of primary education, total (% of relevant age group)
## 141 Labor force with primary education (% of total)
## 142 Labor force with primary education, male (% of male labor force)
## 143 Labor force with secondary education (% of total)
## 144 Labor force with secondary education, male (% of male labor force)
## 145 Labor force with tertiary education (% of total)
## 146 Labor force with tertiary education, male (% of male labor force)
## 147 Primary education, duration (years)
## 148 Primary education, pupils
## 149 Primary education, teachers
## 150 Secondary education, duration (years)
## 151 Secondary education, pupils
## 152 Secondary education, teachers
## 153 Secondary education, vocational pupils
## 154 Share of youth not in education, employment or training, male (% of male youth population)
## 155 Share of youth not in education, employment or training, total (% of youth population)
## 156 Secondary education, general pupils
## 157 Trained teachers in primary education (% of total teachers)
## 158 Trained teachers in primary education, male (% of male teachers)
## 159 Unemployment with primary education (% of total unemployment)
## 160 Unemployment with primary education, male (% of male unemployment)
## 161 Unemployment with secondary education (% of total unemployment)
## 162 Unemployment with secondary education, male (% of male unemployment)
## 163 Unemployment with tertiary education (% of total unemployment)
## 164 Unemployment with tertiary education, male (% of male unemployment)Data collection takes place via multiple UN, World Bank, and WHO studies, each of which has its own data collection procedures. As I narrow down the most significant factors, I can list more specific data collection protocols. A listing of the sources of data collection is listed in the Data Source section below.
These data come from a number of observational studies.
This data gathered from multiple UN, World Bank, and WHO studies, listed here:
unique(data_dictionary$Source)## [1] UNAIDS estimates.
## [2] Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS)
## [3] Demographic and Health Surveys.
## [4] Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.
## [5] United Nations Population Division, World Population Prospects.
## [6] UNICEF's State of the World's Children and Childinfo, United Nations Population Division's World Contraceptive Use, household surveys including Demographic and Health Surveys and Multiple Indicator Cluster Surveys.
## [7] UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.
## [8] 1. WHO. Global anemia prevalence and trends 1995-2011. Geneva: World Health Organization; forthcoming. 2. Stevens GA, Finucane MM, De-Regil LM, et al. Global, regional, and national trends in hemoglobin concentration and prevalence of total and severe anemia in children and pregnant and non-pregnant women for 1995-2011: a systematic analysis of population-representative data. The Lancet Global Health 2013; 1(1): e16-e25.
## [9] Inter-Parliamentary Union (IPU) (www.ipu.org).
## [10] International Labour Organization, Key Indicators of the Labour Market database.
## [11] United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.
## [12] Understanding Children's Work project based on data from ILO, UNICEF and the World Bank.
## [13] ILO Key Indicators of the Labour Market (KILM).
## [14] World Bank, Enterprise Surveys (http://www.enterprisesurveys.org/).
## [15] Demographic and Health Surveys by ICF International.
## [16] (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.
## [17] Demographic and Health Surveys, and UNAIDS.
## [18] International Labour Organization, using World Bank population estimates.
## [19] (1) United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm, (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. Human Mortality Database. [ www.mortality.org or www.humanmortality.de].
## [20] Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
## [21] World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.
## [22] The United Nations Population Division's World Population Prospects.
## [23] World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).
## [24] United Nations Population Division. World Population Prospects. New York, United Nations, Department of Economic and Social Affairs (advanced Excel tables). Available at http://esa.un.org/wpp/unpp/panel_population.htm.
## [25] United Nations Educational, Scientific, and Cultural Organization (UNESCO), special data collection for the Education for All Initiative.
## [26] where the incumbents hold explicit (written or oral) or implicit employment contracts that give them a basic remuneration that is not directly dependent upon the revenue of the unit for which they work.
## [27]
## [28] World Bank Group, CPIA database (http://www.worldbank.org/ida).
## [29] World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
## [30] World Bank, Global Poverty Working Group. Data are compiled from official government sources or are computed by World Bank staff using national (i.e. country–specific) poverty lines.
## [31] World Bank staff estimates using data from the United Nations Statistics Division's Statistical Yearbook, and the UNESCO Institute for Statistics online database.
## 31 Levels: ...The response variable(s) will be one or more of the spousal violence variables above. These are numerical variables representing support for the belief that men are justified in striking their wives in certain situations.
The explanatory variable(s) will be one or more of the additional numerical variables relating to the economic, educational, political, and health situation of women. These are determined by the use of correlation matrices and variable selection according to completeness of coverage.
Because of the complexity of the dataset, additional time is required to determine which variables will be used. When this is accomplished, relevant summary statistics can be offered. What can be determined at this time are how many observations will be available (we limit observations to the country and year in which violence against women statistics are available): 135. We can do summary statistics on all of the fields (represented here by codes) for these 135 observations in order to discern which are likely to be usable (have low numbers of NAs):
## Country_Name Country_Code year IC.FRM.FEMM.ZS
## Peru : 6 PER : 6 2006 :24 Min. : 1.30
## Armenia : 3 ARM : 3 2005 :17 1st Qu.: 9.10
## Benin : 3 BEN : 3 2012 :13 Median :13.60
## Burkina Faso : 3 BFA : 3 2007 :11 Mean :12.31
## Dominican Republic: 3 DOM : 3 2010 :10 3rd Qu.:15.75
## Ethiopia : 3 ETH : 3 2003 : 8 Max. :21.60
## (Other) :114 (Other):114 (Other):52 NA's :128
## IC.FRM.FEMO.ZS IQ.CPA.GNDR.XQ NY.ADJ.AEDU.CD NY.ADJ.AEDU.GN.ZS
## Min. : 9.10 Min. :2.500 Min. :1.017e+07 Min. : 0.850
## 1st Qu.:16.10 1st Qu.:3.000 1st Qu.:1.132e+08 1st Qu.: 2.500
## Median :24.50 Median :3.500 Median :3.121e+08 Median : 3.200
## Mean :26.34 Mean :3.474 Mean :1.570e+09 Mean : 3.818
## 3rd Qu.:35.20 3rd Qu.:4.000 3rd Qu.:1.254e+09 3rd Qu.: 4.246
## Max. :56.20 Max. :4.500 Max. :2.919e+10 Max. :32.368
## NA's :110 NA's :59 NA's :5 NA's :5
## SE.ADT.1524.LT.FE.ZS SE.ADT.1524.LT.FM.ZS SE.ADT.1524.LT.MA.ZS
## Min. :15.06 Min. :0.4360 Min. :34.53
## 1st Qu.:58.35 1st Qu.:0.7582 1st Qu.:74.13
## Median :73.56 Median :0.9450 Median :80.55
## Mean :71.27 Mean :0.8761 Mean :78.99
## 3rd Qu.:94.11 3rd Qu.:1.0139 3rd Qu.:92.57
## Max. :99.20 Max. :1.2414 Max. :99.39
## NA's :87 NA's :87 NA's :87
## SE.ADT.1524.LT.ZS SE.ADT.LITR.FE.ZS SE.ADT.LITR.MA.ZS SE.ADT.LITR.ZS
## Min. :23.52 Min. : 8.94 Min. :23.25 Min. :15.46
## 1st Qu.:65.57 1st Qu.:40.07 1st Qu.:63.37 1st Qu.:50.48
## Median :77.48 Median :59.55 Median :72.02 Median :64.68
## Mean :74.93 Mean :58.30 Mean :71.24 Mean :64.48
## 3rd Qu.:93.38 3rd Qu.:84.99 3rd Qu.:85.97 3rd Qu.:85.08
## Max. :99.12 Max. :97.37 Max. :98.44 Max. :97.89
## NA's :87 NA's :87 NA's :87 NA's :87
## SE.ENR.PRIM.FM.ZS SE.ENR.PRSC.FM.ZS SE.ENR.SECO.FM.ZS SE.ENR.TERT.FM.ZS
## Min. :0.6543 Min. :0.6287 Min. :0.4602 Min. :0.1553
## 1st Qu.:0.9304 1st Qu.:0.9133 1st Qu.:0.8232 1st Qu.:0.5135
## Median :0.9777 Median :0.9813 Median :0.9636 Median :0.7952
## Mean :0.9514 Mean :0.9498 Mean :0.9237 Mean :0.8700
## 3rd Qu.:0.9980 3rd Qu.:1.0150 3rd Qu.:1.0301 3rd Qu.:1.1927
## Max. :1.0811 Max. :1.0964 Max. :1.4148 Max. :2.1102
## NA's :30 NA's :47 NA's :44 NA's :52
## SE.PRE.ENRR.FE SE.PRM.CMPT.FE.ZS SE.PRM.DURS SE.PRM.ENRL
## Min. : 1.531 Min. : 15.89 Min. :3.000 Min. : 33789
## 1st Qu.: 11.130 1st Qu.: 56.18 1st Qu.:6.000 1st Qu.: 662513
## Median : 32.451 Median : 81.10 Median :6.000 Median : 1731579
## Mean : 33.875 Mean : 75.19 Mean :5.733 Mean : 4043563
## 3rd Qu.: 48.391 3rd Qu.: 96.53 3rd Qu.:6.000 3rd Qu.: 4026316
## Max. :102.800 Max. :117.05 Max. :7.000 Max. :30784378
## NA's :51 NA's :42 NA's :22
## SE.PRM.ENRL.FE.ZS SE.PRM.ENRR.FE SE.PRM.GINT.FE.ZS SE.PRM.GINT.MA.ZS
## Min. :39.20 Min. : 42.20 Min. : 49.09 Min. : 64.60
## 1st Qu.:47.37 1st Qu.: 94.22 1st Qu.: 94.23 1st Qu.: 96.34
## Median :48.52 Median :104.32 Median :105.97 Median :109.43
## Mean :47.85 Mean :101.89 Mean :111.60 Mean :115.53
## 3rd Qu.:49.05 3rd Qu.:110.63 3rd Qu.:123.13 3rd Qu.:130.50
## Max. :51.09 Max. :148.25 Max. :187.34 Max. :185.07
## NA's :24 NA's :30 NA's :36 NA's :36
## SE.PRM.GINT.ZS SE.PRM.NENR.FE SE.PRM.NINT.FE.ZS SE.PRM.PRS5.FE.ZS
## Min. : 57.19 Min. :32.99 Min. :19.44 Min. :35.38
## 1st Qu.: 95.82 1st Qu.:76.03 1st Qu.:47.09 1st Qu.:64.80
## Median :107.93 Median :87.53 Median :60.02 Median :77.63
## Mean :113.30 Mean :81.41 Mean :59.00 Mean :74.22
## 3rd Qu.:126.77 3rd Qu.:92.06 3rd Qu.:72.43 3rd Qu.:84.99
## Max. :184.22 Max. :99.89 Max. :97.63 Max. :97.47
## NA's :34 NA's :61 NA's :79 NA's :80
## SE.PRM.PRSL.FE.ZS SE.PRM.REPT.FE.ZS SE.PRM.TCAQ.FE.ZS SE.PRM.TCAQ.MA.ZS
## Min. :29.39 Min. : 0.04458 Min. : 13.57 Min. : 15.98
## 1st Qu.:63.24 1st Qu.: 1.54105 1st Qu.: 63.29 1st Qu.: 53.45
## Median :73.46 Median : 6.46078 Median : 77.92 Median : 76.69
## Mean :72.95 Mean : 8.75790 Mean : 76.97 Mean : 72.61
## 3rd Qu.:88.07 3rd Qu.:14.19197 3rd Qu.: 94.51 3rd Qu.: 93.42
## Max. :99.92 Max. :34.10121 Max. :100.00 Max. :100.00
## NA's :71 NA's :39 NA's :88 NA's :88
## SE.PRM.TCAQ.ZS SE.PRM.TCHR SE.PRM.TCHR.FE.ZS SE.PRM.TENR.FE
## Min. : 15.37 Min. : 1291 Min. :12.17 Min. :33.40
## 1st Qu.: 63.29 1st Qu.: 26598 1st Qu.:36.96 1st Qu.:78.21
## Median : 84.90 Median : 48500 Median :51.63 Median :89.87
## Mean : 78.47 Mean : 138182 Mean :54.72 Mean :83.14
## 3rd Qu.: 95.97 3rd Qu.: 149534 3rd Qu.:71.97 3rd Qu.:94.85
## Max. :100.00 Max. :1655764 Max. :99.17 Max. :99.89
## NA's :80 NA's :37 NA's :43 NA's :61
## SE.PRM.UNER.FE SE.SEC.CMPT.LO.FE.ZS SE.SEC.DURS SE.SEC.ENRL
## Min. : 45 Min. : 6.732 Min. :4.000 Min. : 9726
## 1st Qu.: 17781 1st Qu.:27.880 1st Qu.:6.000 1st Qu.: 358374
## Median : 86562 Median :57.481 Median :6.000 Median : 721470
## Mean : 378781 Mean :55.674 Mean :6.193 Mean : 3032188
## 3rd Qu.: 383588 3rd Qu.:85.985 3rd Qu.:7.000 3rd Qu.: 2173540
## Max. :4879009 Max. :98.600 Max. :8.000 Max. :91529432
## NA's :61 NA's :55 NA's :37
## SE.SEC.ENRL.FE.ZS SE.SEC.ENRL.GC SE.SEC.ENRL.GC.FE.ZS
## Min. :31.81 Min. : 9506 Min. :31.30
## 1st Qu.:44.70 1st Qu.: 327520 1st Qu.:44.46
## Median :48.02 Median : 682113 Median :47.81
## Mean :46.90 Mean : 2780192 Mean :46.76
## 3rd Qu.:49.61 3rd Qu.: 1919990 3rd Qu.:50.12
## Max. :57.98 Max. :90779920 Max. :57.95
## NA's :40 NA's :32 NA's :34
## SE.SEC.ENRL.VO SE.SEC.ENRL.VO.FE.ZS SE.SEC.ENRR.FE SE.SEC.NENR.FE
## Min. : 0 Min. :13.74 Min. : 8.905 Min. : 7.675
## 1st Qu.: 14561 1st Qu.:33.70 1st Qu.: 28.926 1st Qu.:28.125
## Median : 28623 Median :41.82 Median : 54.496 Median :51.743
## Mean : 186160 Mean :41.27 Mean : 56.319 Mean :50.802
## 3rd Qu.: 106336 3rd Qu.:49.49 3rd Qu.: 86.306 3rd Qu.:75.697
## Max. :4019157 Max. :66.91 Max. :101.980 Max. :96.886
## NA's :54 NA's :62 NA's :44 NA's :77
## SE.SEC.PROG.FE.ZS SE.SEC.REPT.FE.ZS SE.SEC.TCHR SE.SEC.TCHR.FE
## Min. :47.42 Min. : 0.02408 Min. : 1480 Min. : 334
## 1st Qu.:73.56 1st Qu.: 1.14750 1st Qu.: 11223 1st Qu.: 2609
## Median :91.83 Median : 4.07397 Median : 32113 Median : 12544
## Mean :85.66 Mean : 7.81781 Mean : 123729 Mean : 57196
## 3rd Qu.:97.30 3rd Qu.:13.40154 3rd Qu.: 123423 3rd Qu.: 46212
## Max. :99.99 Max. :32.90439 Max. :1434874 Max. :701550
## NA's :68 NA's :57 NA's :67 NA's :71
## SE.SEC.TCHR.FE.ZS SE.TER.ENRR.FE SE.TER.TCHR.FE.ZS SE.XPD.CPRM.ZS
## Min. : 4.77 Min. : 0.1802 Min. : 6.087 Min. : 40.14
## 1st Qu.:19.60 1st Qu.: 2.4839 1st Qu.:15.042 1st Qu.: 80.69
## Median :38.40 Median : 9.8880 Median :25.289 Median : 88.27
## Mean :37.04 Mean :18.7359 Mean :28.741 Mean : 86.12
## 3rd Qu.:52.77 3rd Qu.:32.4191 3rd Qu.:40.887 3rd Qu.: 95.42
## Max. :86.35 Max. :83.9815 Max. :63.768 Max. :100.00
## NA's :71 NA's :52 NA's :82 NA's :99
## SE.XPD.CSEC.ZS SE.XPD.CTER.ZS SE.XPD.CTOT.ZS SE.XPD.MPRM.ZS
## Min. :13.10 Min. : 24.02 Min. :39.58 Min. :17.15
## 1st Qu.:82.59 1st Qu.: 80.01 1st Qu.:79.59 1st Qu.:64.94
## Median :89.53 Median : 87.55 Median :85.93 Median :74.14
## Mean :84.97 Mean : 85.24 Mean :84.72 Mean :73.02
## 3rd Qu.:94.67 3rd Qu.: 95.36 3rd Qu.:92.06 3rd Qu.:86.40
## Max. :99.67 Max. :100.00 Max. :99.46 Max. :95.75
## NA's :98 NA's :97 NA's :97 NA's :102
## SE.XPD.MSEC.ZS SE.XPD.MTER.ZS SE.XPD.MTOT.ZS SE.XPD.PRIM.ZS
## Min. :12.02 Min. :22.81 Min. :30.97 Min. :26.01
## 1st Qu.:60.75 1st Qu.:50.72 1st Qu.:59.19 1st Qu.:39.09
## Median :68.58 Median :64.69 Median :65.95 Median :45.83
## Mean :67.58 Mean :61.31 Mean :64.77 Mean :46.52
## 3rd Qu.:77.23 3rd Qu.:69.78 3rd Qu.:70.72 3rd Qu.:53.10
## Max. :99.08 Max. :90.45 Max. :89.59 Max. :69.48
## NA's :102 NA's :107 NA's :103 NA's :85
## SE.XPD.SECO.ZS SE.XPD.TERT.ZS SE.XPD.TOTL.GB.ZS SE.XPD.TOTL.GD.ZS
## Min. :11.32 Min. : 0.00 Min. : 5.633 Min. : 1.209
## 1st Qu.:21.90 1st Qu.:11.96 1st Qu.:13.084 1st Qu.: 2.816
## Median :25.05 Median :15.68 Median :14.944 Median : 3.508
## Mean :26.71 Mean :17.49 Mean :15.833 Mean : 4.080
## 3rd Qu.:32.94 3rd Qu.:21.90 3rd Qu.:18.435 3rd Qu.: 4.802
## Max. :48.87 Max. :34.65 Max. :27.650 Max. :13.272
## NA's :85 NA's :73 NA's :58 NA's :55
## SG.GEN.LSOM.ZS SG.GEN.PARL.ZS SG.VAW.ARGU.ZS SG.VAW.BURN.ZS
## Min. : 5.386 Min. : 0.00 Min. : 0.400 Min. : 0.10
## 1st Qu.:19.825 1st Qu.: 8.40 1st Qu.: 5.925 1st Qu.: 3.45
## Median :29.196 Median :13.20 Median :21.400 Median :11.70
## Mean :29.299 Mean :15.48 Mean :24.435 Mean :14.94
## 3rd Qu.:36.179 3rd Qu.:20.80 3rd Qu.:39.225 3rd Qu.:22.73
## Max. :57.509 Max. :56.30 Max. :77.600 Max. :64.50
## NA's :103 NA's :6 NA's :1 NA's :3
## SG.VAW.GOES.ZS SG.VAW.NEGL.ZS SG.VAW.REAS.ZS SG.VAW.REFU.ZS
## Min. : 0.30 Min. : 1.70 Min. : 4.8 Min. : 0.20
## 1st Qu.: 8.90 1st Qu.:14.20 1st Qu.:10.4 1st Qu.: 4.25
## Median :26.30 Median :30.20 Median :23.6 Median :14.15
## Mean :27.87 Mean :31.46 Mean :35.5 Mean :20.02
## 3rd Qu.:42.60 3rd Qu.:46.10 3rd Qu.:63.8 3rd Qu.:30.52
## Max. :82.70 Max. :81.00 Max. :85.0 Max. :73.50
## NA's :114 NA's :3
## SH.ANM.NPRG.ZS SH.CON.1524.FE.ZS SH.DYN.AIDS.FE.ZS SH.DYN.MORT.FE
## Min. :16.90 Min. : 0.0 Min. :12.82 Min. : 16.00
## 1st Qu.:26.27 1st Qu.: 4.6 1st Qu.:34.41 1st Qu.: 35.42
## Median :35.80 Median :11.1 Median :56.85 Median : 65.00
## Mean :36.78 Mean :13.1 Mean :47.88 Mean : 76.50
## 3rd Qu.:45.88 3rd Qu.:18.4 3rd Qu.:58.63 3rd Qu.:100.12
## Max. :63.90 Max. :54.8 Max. :68.32 Max. :174.50
## NA's :21 NA's :33 NA's :18 NA's :119
## SH.HIV.1524.FE.ZS SH.PRG.ANEM SH.PRV.SMOK.FE SH.STA.ANVC.ZS
## Min. : 0.100 Min. :20.00 Min. : 0.200 Min. :26.10
## 1st Qu.: 0.125 1st Qu.:30.25 1st Qu.: 2.350 1st Qu.:81.10
## Median : 0.600 Median :36.50 Median : 4.950 Median :90.80
## Mean : 1.625 Mean :40.78 Mean : 5.222 Mean :85.08
## 3rd Qu.: 1.375 3rd Qu.:51.85 3rd Qu.: 6.925 3rd Qu.:95.50
## Max. :18.100 Max. :68.90 Max. :17.200 Max. :99.90
## NA's :21 NA's :21 NA's :99 NA's :2
## SH.STA.MALN.FE.ZS SH.STA.OWGH.FE.ZS SH.STA.STNT.FE.ZS SH.STA.WAST.FE.ZS
## Min. : 1.00 Min. : 0.60 Min. : 6.10 Min. : 0.200
## 1st Qu.: 5.85 1st Qu.: 3.50 1st Qu.:23.20 1st Qu.: 3.850
## Median :15.00 Median : 6.10 Median :31.70 Median : 6.250
## Mean :16.27 Mean : 6.97 Mean :31.79 Mean : 7.206
## 3rd Qu.:21.60 3rd Qu.: 8.60 3rd Qu.:41.20 3rd Qu.:10.125
## Max. :43.90 Max. :25.20 Max. :57.10 Max. :22.600
## NA's :24 NA's :25 NA's :24 NA's :25
## SH.SVR.WAST.FE.ZS SI.POV.2DAY SI.POV.DDAY SI.POV.GAP2
## Min. : 0.000 Min. : 0.21 Min. : 0.05 Min. : 0.060
## 1st Qu.: 1.100 1st Qu.:10.01 1st Qu.: 2.77 1st Qu.: 2.688
## Median : 2.150 Median :27.67 Median :10.87 Median : 9.570
## Mean : 2.569 Mean :36.34 Mean :21.90 Mean :16.345
## 3rd Qu.: 3.575 3rd Qu.:69.49 3rd Qu.:37.73 3rd Qu.:27.875
## Max. :11.000 Max. :94.88 Max. :83.76 Max. :59.620
## NA's :25 NA's :93 NA's :93 NA's :93
## SI.POV.GAPS SI.POV.NAGP SI.POV.NAHC SI.POV.RUGP
## Min. : 0.000 Min. : 1.90 Min. :11.3 Min. : 2.4
## 1st Qu.: 0.740 1st Qu.: 5.60 1st Qu.:27.8 1st Qu.: 7.9
## Median : 2.615 Median :10.40 Median :39.9 Median :20.4
## Mean : 8.510 Mean :12.68 Mean :40.3 Mean :18.5
## 3rd Qu.:11.010 3rd Qu.:18.90 3rd Qu.:52.4 3rd Qu.:25.4
## Max. :41.780 Max. :34.10 Max. :72.3 Max. :42.8
## NA's :93 NA's :106 NA's :94 NA's :110
## SI.POV.RUHC SI.POV.URGP SI.POV.URHC SL.AGR.0714.FE.ZS
## Min. :15.10 Min. : 1.300 Min. : 7.40 Min. :32.04
## 1st Qu.:41.50 1st Qu.: 4.000 1st Qu.:18.12 1st Qu.:65.59
## Median :56.80 Median : 6.300 Median :30.40 Median :74.05
## Mean :52.92 Mean : 7.856 Mean :30.15 Mean :73.20
## 3rd Qu.:66.47 3rd Qu.: 9.200 3rd Qu.:37.15 3rd Qu.:85.66
## Max. :84.30 Max. :24.700 Max. :63.80 Max. :96.10
## NA's :97 NA's :110 NA's :97 NA's :123
## SL.AGR.EMPL.FE.ZS SL.EMP.1524.SP.FE.NE.ZS SL.EMP.1524.SP.FE.ZS
## Min. : 0.90 Min. : 4.60 Min. : 4.80
## 1st Qu.:22.50 1st Qu.:13.25 1st Qu.:26.50
## Median :36.70 Median :25.95 Median :33.80
## Mean :37.53 Mean :28.43 Mean :39.86
## 3rd Qu.:50.20 3rd Qu.:43.20 3rd Qu.:54.70
## Max. :89.90 Max. :62.40 Max. :78.10
## NA's :86 NA's :119 NA's :2
## SL.EMP.INSV.FE.ZS SL.EMP.MPYR.FE.ZS SL.EMP.SELF.FE.ZS
## Min. :14.00 Min. :0.100 Min. : 3.90
## 1st Qu.:25.77 1st Qu.:0.500 1st Qu.:35.90
## Median :36.00 Median :1.700 Median :59.70
## Mean :34.56 Mean :1.666 Mean :56.92
## 3rd Qu.:42.05 3rd Qu.:2.800 3rd Qu.:73.60
## Max. :54.90 Max. :3.800 Max. :97.00
## NA's :83 NA's :94 NA's :90
## SL.EMP.TOTL.SP.FE.NE.ZS SL.EMP.TOTL.SP.FE.ZS SL.EMP.VULN.FE.ZS
## Min. : 9.60 Min. : 9.7 Min. : 1.50
## 1st Qu.:38.40 1st Qu.:40.9 1st Qu.:40.60
## Median :47.90 Median :54.5 Median :56.90
## Mean :48.49 Mean :53.9 Mean :57.42
## 3rd Qu.:61.50 3rd Qu.:65.3 3rd Qu.:76.05
## Max. :84.00 Max. :86.4 Max. :97.00
## NA's :82 NA's :2 NA's :92
## SL.EMP.WORK.FE.ZS SL.FAM.0714.FE.ZS SL.FAM.WORK.FE.ZS SL.IND.EMPL.FE.ZS
## Min. : 3.00 Min. :23.54 Min. : 0.30 Min. : 0.4
## 1st Qu.:23.40 1st Qu.:74.59 1st Qu.: 9.95 1st Qu.: 8.3
## Median :40.25 Median :84.15 Median :19.30 Median :10.8
## Mean :41.58 Mean :81.39 Mean :24.65 Mean :11.3
## 3rd Qu.:60.40 3rd Qu.:89.98 3rd Qu.:34.17 3rd Qu.:15.2
## Max. :95.90 Max. :96.95 Max. :80.30 Max. :29.9
## NA's :89 NA's :104 NA's :91 NA's :86
## SL.MNF.0714.FE.ZS SL.SLF.0714.FE.ZS SL.SRV.0714.FE.ZS SL.SRV.EMPL.FE.ZS
## Min. : 0.000 Min. : 0.000 Min. : 3.100 Min. : 9.70
## 1st Qu.: 1.555 1st Qu.: 1.900 1st Qu.: 5.338 1st Qu.:37.30
## Median : 2.015 Median : 2.500 Median :21.770 Median :49.48
## Mean : 3.239 Mean : 4.759 Mean :21.351 Mean :50.16
## 3rd Qu.: 4.625 3rd Qu.: 3.725 3rd Qu.:29.477 3rd Qu.:65.10
## Max. :10.172 Max. :19.560 Max. :57.785 Max. :91.30
## NA's :123 NA's :128 NA's :123 NA's :86
## SL.TLF.0714.FE.ZS SL.TLF.0714.SW.FE.TM SL.TLF.0714.SW.FE.ZS
## Min. : 0.40 Min. : 3.500 Min. : 38.00
## 1st Qu.:10.40 1st Qu.: 7.125 1st Qu.: 55.46
## Median :28.30 Median :10.400 Median : 78.12
## Mean :27.20 Mean :12.236 Mean : 73.46
## 3rd Qu.:38.15 3rd Qu.:15.275 3rd Qu.: 92.30
## Max. :76.10 Max. :36.800 Max. :100.00
## NA's :83 NA's :113 NA's :109
## SL.TLF.0714.WK.FE.TM SL.TLF.0714.WK.FE.ZS SL.TLF.ACTI.1524.FE.NE.ZS
## Min. : 6.70 Min. : 0.000 Min. : 8.90
## 1st Qu.:14.72 1st Qu.: 7.705 1st Qu.:28.80
## Median :18.95 Median :21.878 Median :38.90
## Mean :21.20 Mean :26.541 Mean :41.37
## 3rd Qu.:25.52 3rd Qu.:44.541 3rd Qu.:52.90
## Max. :42.90 Max. :62.000 Max. :81.80
## NA's :115 NA's :109 NA's :98
## SL.TLF.ACTI.1524.FE.ZS SL.TLF.ACTI.FE.ZS SL.TLF.CACT.FE.NE.ZS
## Min. : 9.20 Min. :13.60 Min. :12.30
## 1st Qu.:34.35 1st Qu.:52.05 1st Qu.:47.35
## Median :44.05 Median :61.60 Median :56.10
## Mean :46.58 Mean :61.28 Mean :55.53
## 3rd Qu.:58.88 3rd Qu.:72.88 3rd Qu.:66.30
## Max. :82.50 Max. :90.30 Max. :88.10
## NA's :1 NA's :1 NA's :87
## SL.TLF.CACT.FE.ZS SL.TLF.CACT.FM.NE.ZS SL.TLF.CACT.FM.ZS
## Min. :12.80 Min. : 19.16 Min. : 18.96
## 1st Qu.:48.23 1st Qu.: 62.00 1st Qu.: 64.24
## Median :58.65 Median : 76.12 Median : 80.18
## Mean :58.94 Mean : 71.87 Mean : 75.44
## 3rd Qu.:71.58 3rd Qu.: 84.68 3rd Qu.: 88.31
## Max. :88.50 Max. :104.52 Max. :105.40
## NA's :1 NA's :87 NA's :1
## SL.TLF.PART.FE.ZS SL.TLF.PART.TL.FE.ZS SL.TLF.PRIM.FE.ZS
## Min. :12.30 Min. :37.60 Min. : 2.70
## 1st Qu.:23.40 1st Qu.:48.17 1st Qu.:19.50
## Median :26.10 Median :59.20 Median :25.30
## Mean :24.44 Mean :55.27 Mean :27.79
## 3rd Qu.:28.45 3rd Qu.:60.20 3rd Qu.:40.00
## Max. :31.00 Max. :65.70 Max. :56.10
## NA's :123 NA's :123 NA's :116
## SL.TLF.PRIM.MA.ZS SL.TLF.PRIM.ZS SL.TLF.SECO.FE.ZS SL.TLF.SECO.MA.ZS
## Min. : 9.60 Min. : 8.20 Min. :16.50 Min. :21.00
## 1st Qu.:22.95 1st Qu.:24.50 1st Qu.:30.25 1st Qu.:23.60
## Median :33.80 Median :31.10 Median :36.80 Median :37.20
## Mean :36.17 Mean :34.34 Mean :40.45 Mean :41.59
## 3rd Qu.:52.45 3rd Qu.:45.80 3rd Qu.:51.95 3rd Qu.:60.20
## Max. :59.40 Max. :57.70 Max. :68.40 Max. :69.40
## NA's :116 NA's :114 NA's :116 NA's :116
## SL.TLF.SECO.ZS SL.TLF.TERT.FE.ZS SL.TLF.TERT.MA.ZS SL.TLF.TERT.ZS
## Min. :18.50 Min. : 1.7 Min. : 2.50 Min. : 2.10
## 1st Qu.:25.70 1st Qu.:12.1 1st Qu.: 8.65 1st Qu.: 9.50
## Median :35.70 Median :17.5 Median :15.40 Median :16.60
## Mean :39.08 Mean :21.1 Mean :14.21 Mean :15.39
## 3rd Qu.:55.80 3rd Qu.:26.4 3rd Qu.:20.05 3rd Qu.:22.40
## Max. :68.90 Max. :57.7 Max. :23.80 Max. :28.30
## NA's :114 NA's :116 NA's :116 NA's :114
## SL.TLF.TOTL.FE.ZS SL.UEM.1524.FE.NE.ZS SL.UEM.1524.FE.ZS
## Min. :14.78 Min. : 0.38 Min. : 0.50
## 1st Qu.:39.34 1st Qu.:11.20 1st Qu.: 7.60
## Median :45.26 Median :20.07 Median :13.20
## Mean :43.13 Mean :26.17 Mean :17.79
## 3rd Qu.:48.73 3rd Qu.:41.70 3rd Qu.:20.70
## Max. :54.66 Max. :65.60 Max. :68.10
## NA's :1 NA's :94 NA's :2
## SL.UEM.LTRM.FE.ZS SL.UEM.NEET.FE.ZS SL.UEM.NEET.MA.ZS SL.UEM.NEET.ZS
## Min. :12.2 Min. :26.20 Min. : 9.40 Min. :17.90
## 1st Qu.:19.7 1st Qu.:28.85 1st Qu.:14.35 1st Qu.:21.60
## Median :27.2 Median :31.50 Median :19.30 Median :25.30
## Mean :29.6 Mean :29.97 Mean :18.90 Mean :24.40
## 3rd Qu.:38.3 3rd Qu.:31.85 3rd Qu.:23.65 3rd Qu.:27.65
## Max. :49.4 Max. :32.20 Max. :28.00 Max. :30.00
## NA's :132 NA's :132 NA's :132 NA's :132
## SL.UEM.PRIM.FE.ZS SL.UEM.PRIM.MA.ZS SL.UEM.PRIM.ZS SL.UEM.SECO.FE.ZS
## Min. : 1.200 Min. : 2.50 Min. : 2.90 Min. :11.30
## 1st Qu.: 9.625 1st Qu.:13.50 1st Qu.: 9.80 1st Qu.:35.98
## Median :19.450 Median :26.25 Median :24.70 Median :47.15
## Mean :23.083 Mean :31.84 Mean :27.65 Mean :48.41
## 3rd Qu.:35.875 3rd Qu.:50.40 3rd Qu.:44.60 3rd Qu.:63.92
## Max. :59.400 Max. :68.40 Max. :60.70 Max. :85.70
## NA's :105 NA's :105 NA's :102 NA's :105
## SL.UEM.SECO.MA.ZS SL.UEM.SECO.ZS SL.UEM.TERT.FE.ZS SL.UEM.TERT.MA.ZS
## Min. :15.30 Min. :13.30 Min. : 1.20 Min. : 0.50
## 1st Qu.:33.30 1st Qu.:34.90 1st Qu.: 9.60 1st Qu.: 7.75
## Median :46.15 Median :50.70 Median :20.55 Median :14.20
## Mean :47.26 Mean :49.13 Mean :22.90 Mean :16.40
## 3rd Qu.:58.75 3rd Qu.:62.70 3rd Qu.:32.27 3rd Qu.:23.57
## Max. :84.80 Max. :84.00 Max. :69.70 Max. :38.30
## NA's :105 NA's :102 NA's :105 NA's :105
## SL.UEM.TERT.ZS SL.UEM.TOTL.FE.NE.ZS SL.UEM.TOTL.FE.ZS SL.WAG.0714.FE.ZS
## Min. : 0.800 Min. : 0.300 Min. : 0.300 Min. : 0.180
## 1st Qu.: 8.765 1st Qu.: 5.622 1st Qu.: 4.300 1st Qu.: 1.890
## Median :14.700 Median : 9.335 Median : 7.400 Median : 3.420
## Mean :18.169 Mean :12.435 Mean : 9.859 Mean : 9.486
## 3rd Qu.:29.100 3rd Qu.:18.450 3rd Qu.:12.300 3rd Qu.: 5.770
## Max. :40.000 Max. :38.400 Max. :44.200 Max. :77.300
## NA's :102 NA's :81 NA's :2 NA's :104
## SP.ADO.TFRT SP.DYN.AMRT.FE SP.DYN.CONU.ZS SP.DYN.IMRT.FE.IN
## Min. : 12.31 Min. : 51.94 Min. : 5.30 Min. : 13.90
## 1st Qu.: 47.68 1st Qu.:134.58 1st Qu.:19.60 1st Qu.: 30.12
## Median : 87.98 Median :220.77 Median :38.85 Median : 50.90
## Mean : 87.12 Mean :245.35 Mean :39.28 Mean : 50.14
## 3rd Qu.:122.24 3rd Qu.:322.34 3rd Qu.:58.15 3rd Qu.: 64.85
## Max. :214.06 Max. :678.46 Max. :79.10 Max. :101.50
## NA's :1 NA's :5 NA's :119
## SP.DYN.LE00.FE.IN SP.DYN.TO65.FE.ZS SP.DYN.WFRT SP.HOU.FEMA.ZS
## Min. :42.49 Min. :23.97 Min. :1.100 Min. : 9.30
## 1st Qu.:54.39 1st Qu.:50.09 1st Qu.:2.200 1st Qu.:18.50
## Median :63.96 Median :64.39 Median :3.400 Median :24.30
## Mean :63.39 Mean :63.31 Mean :3.483 Mean :25.05
## 3rd Qu.:72.79 3rd Qu.:77.38 3rd Qu.:4.600 3rd Qu.:31.70
## Max. :80.00 Max. :90.26 Max. :7.400 Max. :49.40
## NA's :1 NA's :1 NA's :21 NA's :38
## SP.MTR.1519.ZS SP.POP.TOTL.FE.ZS SP.UWT.TFRT
## Min. : 2.100 Min. :48.04 Min. : 8.00
## 1st Qu.: 9.825 1st Qu.:49.82 1st Qu.:14.68
## Median :18.800 Median :50.19 Median :22.70
## Mean :18.910 Mean :50.30 Mean :22.49
## 3rd Qu.:25.300 3rd Qu.:50.63 3rd Qu.:28.50
## Max. :41.000 Max. :53.71 Max. :39.60
## NA's :19 NA's :29We could, for example, select only those variables for which the number of absent values is below 15, which gives us a much smaller list of measures (22 explanatory variables, to be precise). This is a more workable scenario.
I foresee an iterative process of developing a useful set of variables that show correlation with attitudes vis-a-vis violence toward women. This statistical process has only begun in my case. For now, I add the correlation matrix for the explanatory and response complete variables. Here I show just the columns related to my response variables.
correlation<-data.frame(cor(select(smaller_tidy, -c(1:3)), use="pairwise.complete.obs"))
correlation[1:23,24:29]## SG.VAW.REFU.ZS SG.VAW.GOES.ZS SG.VAW.NEGL.ZS
## NY.ADJ.AEDU.CD -0.1870273472 -0.154571228 -0.16705739
## NY.ADJ.AEDU.GN.ZS -0.0142120119 -0.048144044 -0.02928194
## SE.PRM.DURS 0.2450878291 0.197721839 0.19933499
## SE.SEC.DURS 0.0993416020 0.173832156 0.17752634
## SG.GEN.PARL.ZS 0.0008661141 -0.002262788 0.04261190
## SH.DYN.AIDS.FE.ZS 0.4603064177 0.455742207 0.47818364
## SH.STA.ANVC.ZS -0.4061643090 -0.373800640 -0.36322180
## SL.EMP.1524.SP.FE.ZS 0.2348895689 0.253425247 0.29011540
## SL.EMP.TOTL.SP.FE.ZS 0.1248549740 0.183038261 0.22494481
## SL.TLF.ACTI.1524.FE.ZS 0.1956118179 0.198657868 0.23221778
## SL.TLF.ACTI.FE.ZS 0.0475695573 0.100956156 0.14887506
## SL.TLF.CACT.FE.ZS 0.0968122803 0.143304671 0.18969599
## SL.TLF.CACT.FM.ZS 0.0389825817 0.124041811 0.17401211
## SL.TLF.TOTL.FE.ZS -0.0104474871 0.070547840 0.11263799
## SL.UEM.1524.FE.ZS -0.2899831338 -0.324528692 -0.32932635
## SL.UEM.TOTL.FE.ZS -0.1892673051 -0.256950612 -0.25313435
## SP.ADO.TFRT 0.5137885995 0.455647639 0.41584857
## SP.DYN.AMRT.FE 0.4025807698 0.406043097 0.41914847
## SP.DYN.CONU.ZS -0.6408177936 -0.623425053 -0.61689976
## SP.DYN.LE00.FE.IN -0.5862043149 -0.572198585 -0.57018955
## SP.DYN.TO65.FE.ZS -0.5340973710 -0.528202443 -0.53316297
## SP.MTR.1519.ZS 0.3823770929 0.306352714 0.25137488
## SP.POP.TOTL.FE.ZS -0.1161351066 -0.121884453 -0.08674549
## SG.VAW.BURN.ZS SG.VAW.ARGU.ZS SG.VAW.REAS.ZS
## NY.ADJ.AEDU.CD -0.177103404 -0.19126674 -0.2823434
## NY.ADJ.AEDU.GN.ZS -0.068509115 0.02310558 -0.2813754
## SE.PRM.DURS 0.175431761 0.18204455 0.3310467
## SE.SEC.DURS 0.101773740 0.13813590 -0.1472928
## SG.GEN.PARL.ZS 0.009810222 -0.01071850 0.1557760
## SH.DYN.AIDS.FE.ZS 0.457760493 0.46019060 0.3691019
## SH.STA.ANVC.ZS -0.480010635 -0.41239323 -0.5781748
## SL.EMP.1524.SP.FE.ZS 0.231716069 0.22847294 0.6734885
## SL.EMP.TOTL.SP.FE.ZS 0.128624949 0.15727728 0.5875997
## SL.TLF.ACTI.1524.FE.ZS 0.191659187 0.18815176 0.6179244
## SL.TLF.ACTI.FE.ZS 0.061608634 0.10022544 0.4213824
## SL.TLF.CACT.FE.ZS 0.100435348 0.13865977 0.5393102
## SL.TLF.CACT.FM.ZS 0.040743746 0.12707979 0.3712064
## SL.TLF.TOTL.FE.ZS -0.017695369 0.08898545 0.2361484
## SL.UEM.1524.FE.ZS -0.261186165 -0.30869952 -0.6015018
## SL.UEM.TOTL.FE.ZS -0.184056111 -0.20644336 -0.5420772
## SP.ADO.TFRT 0.391786238 0.49039266 0.7050909
## SP.DYN.AMRT.FE 0.353354315 0.42447347 0.6904870
## SP.DYN.CONU.ZS -0.568990349 -0.63073249 -0.4390090
## SP.DYN.LE00.FE.IN -0.489872272 -0.58308703 -0.7394759
## SP.DYN.TO65.FE.ZS -0.455085894 -0.54241573 -0.7359490
## SP.MTR.1519.ZS 0.246376528 0.38873895 -1.0000000
## SP.POP.TOTL.FE.ZS -0.159390316 -0.10934797 -0.3558275