DDI_WLD_2020_FSGEH_v01_M_WB Development Data Group 2021-10-28 NADA Version 01 (October 2021) Facebook: Survey on Gender Equality at Home 2020 FSGEH 2020 WLD_2020_FSGEH_v01_M Facebook Equal Measures 2030 Ladysmith UN Women World Bank NADA Facebook Joshua Seth Wimpey Other Household Survey [hh/oth] Facebook’s Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. This survey covers topics about gender dynamics and norms, unpaid caregiving, and life during the COVID-19 pandemic. Aggregated data from the inaugural 2020 edition is available publicly on Humanitarian Data Exchange. De-identified microdata is also available to eligible nonprofits and universities through Facebook’s Data for Good program. For more information, please email dataforgood@fb.com. Results from a Wave 2 (2021) edition will be available in late 2021. Facebook’s Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. This survey covers topics about gender dynamics and norms, unpaid caregiving, and life during the COVID-19 pandemic. Aggregated data is available publicly on Humanitarian Data Exchange (HDX). De-identified microdata is also available to eligible nonprofits and universities through Facebook’s Data for Good (DFG) program. For more information, please email dataforgood@fb.com. World This survey is fielded once a year in over 200 countries and 60 languages. The data can help researchers track trends in gender equality and progress on the Sustainable Development Goals. - Public Aggregate Data on HDX: country or regional levels - De-identified Microdata through Facebook Data for Good program: Individual level The survey was fielded to active Facebook users. Sample survey data [ssd] This survey covers topics about gender dynamics and norms, unpaid caregiving, and life during the COVID-19 pandemic. Respondents were sampled across seven regions: - East Asia and Pacific; Europe and Central Asia - Latin America and Caribbean - Middle East and North Africa - North America - Sub-Saharan Africa - South Asia For the purposes of this report, responses have been aggregated up to the regional level; these regional estimates form the basis of this report and its associated products (Regional Briefs). In order to ensure respondent confidentiality, these estimates are based on responses where a sufficient number of people responded to each question and thus where confidentiality can be assured. This results in a sample of 461,748 respondents. The sampling frame for this survey is the global database of Facebook users who were active on the platform at least once over the past 28 days, which offers a number of advantages: It allows for the design, implementation, and launch of a survey in a timely manner. Large sample sizes allow for more questions to be asked through random assignment of modules, avoiding respondent fatigue. Samples may be drawn from diverse segments of the online population. Knowledge of the overall sampling frame allowed for more rigorous probabilistic sampling techniques and non-response adjustments than is typical for online and phone surveys Internet [int] The survey includes a total of 75 questions, split across into the following sections: - Basic demographics and gender norms - Decision making and resource allocation across household members - Unpaid caregiving - Additional household demographics and COVID-19 impact - Optional questions for special groups (e.g. students, business owners, the employed, and the unemployed) Questions were developed collaboratively by a team of economists and gender experts from the World Bank, UN Women, Equal Measures 2030, and Ladysmith. Some of the questions have been borrowed from other surveys that employ alternative modes of administration (e.g., face-to-face, telephone surveys, etc.); this allows for comparability and identification of potential gaps and biases inherent to Facebook and other online survey platforms. As such, the survey also generates methodological insights that are useful to researchers undertaking alternative modes of data collection during the COVID-19 era. In order to avoid “survey fatigue,” wherein respondents begin to disengage from the survey content and responses become less reliable, each respondent was only asked to answer a subset of questions. Specifically, each respondent saw a maximum of 30 questions, comprising demographics (asked of all respondents) and a set of additional questions randomly and purposely allocated to them. This survey is conducted on the Facebook platform bi-annually and implemented in 208 countries and islands in 80 languages. Respondents are offered the option to take the survey in a language that they typically use to navigate Facebook, or a secondary language that they may speak and is supported by the platform. Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design. Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy: Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed. Other factors beyond sampling error that contribute to such potential differences are frame or coverage error and nonresponse error. Survey Limitations The survey only captures respondents who: (1) have access to the Internet (2) are Facebook users (3) opt to take this survey through the Facebook platform. Knowledge of the overall demographics of the online population in each region allows for calibration such that estimates are representative at this level. However, this means the results only tell us something about the online population in each region, not the overall population. As such, the survey cannot generate global estimates or meaningful comparisons across countries and regions, given the heterogeneity in internet connectivity across countries. Estimates have only been generated for respondents who gave their gender as male or female. The survey included an “other” option but very few respondents selected it, making it impossible to generate meaningful estimates for non-binary populations. It is important to note that the survey was not designed to paint a comprehensive picture of household dynamics but rather to shed light on respondents’ reported experiences and roles within households Facebook Data for Good Facebook Data for Good https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Example: Facebook, Equal Measures 2030, Ladysmith, UN Women and World Bank. World - Facebook: Survey on Gender Equality at Home 2020. Ref: WLD_2020_FSGEH_v01_M. Downloaded from [url] on [date]. sog_agg_country.csv This dataset contains country aggregate response data from the 2020 Survey on Gender Equality at Home. 369 92 sog_agg_region.csv This dataset contains region aggregate response data from the 2020 Survey on Gender Equality at Home. 999 104 Year Year Year Year Year 369 2020 2020 2020 Region Region Region Region Region 369 East Asia & Pacific Europe and Central Asia Latin America and Caribbean Middle East and North Africa North America South Asia Sub-Saharan Africa Country Country Country Country Country 369 Internet_Penetration Internet_Penetration Internet_Penetration Internet_Penetration Internet_Penetration 369 . 10 to 15% 15 to 20% 20 to 25% 25 to 30% 30 to 35% 35 to 40% 40 to 45% 45 to 50% 5 to 10% 5% or less 50 to 55% 50 to 65% 55 to 60% 60 to 65% 65 to 70% 70 to 75% 75 to 80% 80 to 85% 85 to 90% 90 to 95% 95 to 100% Gender Gender Gender Gender Gender 369 Combined Female Male a1_agree a1_agree a1_agree a1_agree a1_agree 369 19 97 19 49 61 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 a1_neutral a1_neutral a1_neutral a1_neutral a1_neutral 369 13 1 2 3 4 5 6 7 8 9 10 11 12 13 a1_disagree a1_disagree a1_disagree a1_disagree a1_disagree 369 1 37 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 37 a2_opps_other a2_opps_other a2_opps_other a2_opps_other a2_opps_other 369 3.57 8.21 a3_yes a3_yes a3_yes a3_yes a3_yes 369 22 81 a3_no a3_no a3_no a3_no a3_no 369 19 78 a4 a4 a4 a4 a4 369 10 100 a5_r a5_r a5_r a5_r a5_r 369 4 74 a6_r_city a6_r_city a6_r_city a6_r_city a6_r_city 369 28 90 a6_r_noncity a6_r_noncity a6_r_noncity a6_r_noncity a6_r_noncity 369 10 72 b1_hours_work b1_hours_work b1_hours_work b1_hours_work b1_hours_work 369 4.93 10.28 b2_self b2_self b2_self b2_self b2_self 369 12 86 b3_dependent b3_dependent b3_dependent b3_dependent b3_dependent 369 11 80 b3_fullyindependent b3_fullyindependent b3_fullyindependent b3_fullyindependent b3_fullyindependent 369 20 89 b4_agree b4_agree b4_agree b4_agree b4_agree 369 5 77 b4_neutral b4_neutral b4_neutral b4_neutral b4_neutral 369 3 32 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 b4_disagree b4_disagree b4_disagree b4_disagree b4_disagree 369 4 88 b5_man_other b5_man_other b5_man_other b5_man_other b5_man_other 369 2.63 7.46 b6_wage b6_wage b6_wage b6_wage b6_wage 369 16 100 b6_non_wage b6_non_wage b6_non_wage b6_non_wage b6_non_wage 369 15 100 b7_full b7_full b7_full b7_full b7_full 369 10 89 b7_limited b7_limited b7_limited b7_limited b7_limited 369 1 90 b8 b8 b8 b8 b8 369 8 48 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 45 47 48 b9 b9 b9 b9 b9 369 2 52 2 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 48 52 b10_yes b10_yes b10_yes b10_yes b10_yes 369 10 86 b10_no b10_no b10_no b10_no b10_no 369 14 90 c1_care c1_care c1_care c1_care c1_care 369 32 80 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 80 c1a_all c1a_all c1a_all c1a_all c1a_all 369 14 78 c1a_occasionally c1a_occasionally c1a_occasionally c1a_occasionally c1a_occasionally 369 22 86 c1b_spouse c1b_spouse c1b_spouse c1b_spouse c1b_spouse 369 9 100 c1b_nonspouse c1b_nonspouse c1b_nonspouse c1b_nonspouse c1b_nonspouse 369 16 100 c1c_hours_care c1c_hours_care c1c_hours_care c1c_hours_care c1c_hours_care 369 0.29 18.3 c1d_increase c1d_increase c1d_increase c1d_increase c1d_increase 369 19 558 19 21 23 24 26 27 28 31 32 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 67 68 69 70 558 c1d_same c1d_same c1d_same c1d_same c1d_same 369 8 71 c1d_decrease c1d_decrease c1d_decrease c1d_decrease c1d_decrease 369 1 39 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 34 35 36 39 c2_animals c2_animals c2_animals c2_animals c2_animals 369 3 54 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 46 47 49 50 51 54 c2_business c2_business c2_business c2_business c2_business 369 2 38 2 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 37 38 c2_clean c2_clean c2_clean c2_clean c2_clean 369 14 91 c2_cook c2_cook c2_cook c2_cook c2_cook 369 10 84 c2_farm c2_farm c2_farm c2_farm c2_farm 369 85 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 29 30 36 85 c2_hhmanage c2_hhmanage c2_hhmanage c2_hhmanage c2_hhmanage 369 8 70 c2_none c2_none c2_none c2_none c2_none 369 20 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 19 20 c2_other c2_other c2_other c2_other c2_other 369 9 1 2 3 4 5 6 9 c2_shop c2_shop c2_shop c2_shop c2_shop 369 14 79 c2_water_fuel c2_water_fuel c2_water_fuel c2_water_fuel c2_water_fuel 369 3 87 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 35 37 38 39 40 42 43 45 47 48 57 74 87 c2a_no c2a_no c2a_no c2a_no c2a_no 369 5 33 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 31 33 c2a_yes c2a_yes c2a_yes c2a_yes c2a_yes 369 67 883 67 69 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 883 c2b_spouse c2b_spouse c2b_spouse c2b_spouse c2b_spouse 369 12 100 c2c_hours_chores c2c_hours_chores c2c_hours_chores c2c_hours_chores c2c_hours_chores 369 0.06 7.13 c2d_increase c2d_increase c2d_increase c2d_increase c2d_increase 369 15 70 c2d_same c2d_same c2d_same c2d_same c2d_same 369 7 76 c2d_decrease c2d_decrease c2d_decrease c2d_decrease c2d_decrease 369 2 33 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 31 33 c3_agree c3_agree c3_agree c3_agree c3_agree 369 12 88 c3_neutral c3_neutral c3_neutral c3_neutral c3_neutral 369 4 43 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 c3_disagree c3_disagree c3_disagree c3_disagree c3_disagree 369 6 61 c4_housewife_other c4_housewife_other c4_housewife_other c4_housewife_other c4_housewife_other 369 3.54 7.94 d0 d0 d0 d0 d0 369 28 80 28 31 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 80 d1 d1 d1 d1 d1 369 1 60 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 25 26 27 28 60 d4_computer d4_computer d4_computer d4_computer d4_computer 369 7 87 d4_home d4_home d4_home d4_home d4_home 369 9 80 d4_land d4_land d4_land d4_land d4_land 369 2 47 2 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 47 d4_none d4_none d4_none d4_none d4_none 369 1 41 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 35 36 37 38 41 d4_phone d4_phone d4_phone d4_phone d4_phone 369 24 92 d4_vehicle d4_vehicle d4_vehicle d4_vehicle d4_vehicle 369 3 89 d5_agree d5_agree d5_agree d5_agree d5_agree 369 10 72 d5_neutral d5_neutral d5_neutral d5_neutral d5_neutral 369 5 34 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 34 d5_disagree d5_disagree d5_disagree d5_disagree d5_disagree 369 23 78 d6_health d6_health d6_health d6_health d6_health 369 4 41 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 39 41 d6_isolate d6_isolate d6_isolate d6_isolate d6_isolate 369 7 61 d6_job d6_job d6_job d6_job d6_job 369 4 51 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 44 48 49 50 51 d6_medical d6_medical d6_medical d6_medical d6_medical 369 6 93 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 35 44 49 55 93 d6_migrate d6_migrate d6_migrate d6_migrate d6_migrate 369 2 84 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 22 25 26 27 28 29 84 d6_none d6_none d6_none d6_none d6_none 369 4 54 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 39 40 42 43 48 51 54 d6_other d6_other d6_other d6_other d6_other 369 2 84 2 3 4 5 6 7 8 9 10 11 12 13 14 15 17 84 d6_personal d6_personal d6_personal d6_personal d6_personal 369 1 45 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 29 30 31 32 33 39 43 45 d6_school d6_school d6_school d6_school d6_school 369 9 78 d6_transport d6_transport d6_transport d6_transport d6_transport 369 7 65 d6_wait d6_wait d6_wait d6_wait d6_wait 369 5 49 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 45 48 49 d7_bored d7_bored d7_bored d7_bored d7_bored 369 9 49 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 42 43 44 45 47 48 49 d7_food d7_food d7_food d7_food d7_food 369 8 73 d7_health d7_health d7_health d7_health d7_health 369 7 56 7 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 52 53 56 d7_info d7_info d7_info d7_info d7_info 369 6 43 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 39 40 41 42 43 d7_loan d7_loan d7_loan d7_loan d7_loan 369 3 38 3 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 d7_money d7_money d7_money d7_money d7_money 369 10 63 d7_none d7_none d7_none d7_none d7_none 369 9 1 2 3 4 5 6 7 8 9 d7_stuck d7_stuck d7_stuck d7_stuck d7_stuck 369 13 57 13 14 15 17 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 53 57 d7_work d7_work d7_work d7_work d7_work 369 12 61 12 14 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 57 59 61 Year Year Year Year Year 21 978 2020 2020 2020 Sysmiss Region Region Region Region Region 21 978 East Asia & Pacific Europe & Central Asia Latin America & Caribbean Middle East & North Africa North America South Asia Sub-Saharan Africa Gender Gender Gender Gender Gender 21 978 Combined Female Male a1_agree a1_agree a1_agree a1_agree a1_agree 21 978 70 96 70 77 79 80 83 86 87 89 90 94 95 96 Sysmiss a1_neutral a1_neutral a1_neutral a1_neutral a1_neutral 21 978 2 10 2 3 4 5 6 7 9 10 Sysmiss a1_disagree a1_disagree a1_disagree a1_disagree a1_disagree 21 978 3 21 3 4 5 6 7 8 9 10 11 14 15 17 21 Sysmiss a2_opps_other a2_opps_other a2_opps_other a2_opps_other a2_opps_other 21 978 4.45 7.87 4.45 4.66 4.87 5.35 5.7 5.83 5.94 6.01 6.1 6.11 6.19 6.2 6.3 6.31 6.35 6.39 6.59 6.62 7.41 7.57 7.87 Sysmiss a3_yes a3_yes a3_yes a3_yes a3_yes 21 978 29 67 29 33 43 44 46 48 50 51 53 55 58 59 60 63 64 65 67 Sysmiss a3_no a3_no a3_no a3_no a3_no 21 978 33 71 33 35 36 37 40 41 42 45 47 49 50 52 54 56 57 67 71 Sysmiss a4 a4 a4 a4 a4 21 978 2513 96685 2513 3489 6002 6017 8141 14158 17586 19630 20143 20981 21062 30188 33939 38648 39299 39773 44647 52038 54920 69487 96685 Sysmiss a5_r a5_r a5_r a5_r a5_r 21 978 8 74 8 10 14 16 18 27 28 29 33 36 38 43 44 46 47 53 56 57 74 Sysmiss a6_r_city a6_r_city a6_r_city a6_r_city a6_r_city 21 978 42 78 42 43 44 53 54 55 56 57 58 60 62 63 69 76 77 78 Sysmiss a6_r_noncity a6_r_noncity a6_r_noncity a6_r_noncity a6_r_noncity 21 978 22 58 22 23 24 31 37 38 40 42 43 44 45 46 47 56 57 58 Sysmiss b1_hours_work b1_hours_work b1_hours_work b1_hours_work b1_hours_work 21 978 5.85 8.87 5.85 6.76 6.8 7.12 7.38 7.44 7.46 7.55 7.77 7.84 7.87 7.88 8.1 8.31 8.43 8.44 8.46 8.63 8.68 8.8 8.87 Sysmiss b2_self b2_self b2_self b2_self b2_self 21 978 21 85 21 24 34 39 43 44 45 51 52 53 55 56 58 61 64 66 67 73 75 85 Sysmiss b3_dependent b3_dependent b3_dependent b3_dependent b3_dependent 21 978 24 66 24 26 28 33 35 36 37 40 41 43 44 47 48 49 51 53 65 66 Sysmiss b3_fullyindependent b3_fullyindependent b3_fullyindependent b3_fullyindependent b3_fullyindependent 21 978 34 76 34 35 47 49 51 52 53 56 57 59 60 63 64 65 67 72 74 76 Sysmiss b4_agree b4_agree b4_agree b4_agree b4_agree 21 978 10 71 10 14 17 21 25 26 32 34 39 41 42 45 52 53 56 65 71 Sysmiss b4_neutral b4_neutral b4_neutral b4_neutral b4_neutral 21 978 7 23 7 8 9 10 11 12 14 16 17 20 21 22 23 Sysmiss b4_disagree b4_disagree b4_disagree b4_disagree b4_disagree 21 978 22 70 22 27 33 35 37 39 45 46 51 54 56 57 60 65 69 70 Sysmiss b5_man_other b5_man_other b5_man_other b5_man_other b5_man_other 21 978 4.32 6.61 4.32 4.46 4.69 4.97 5.2 5.46 5.52 5.53 5.77 5.96 5.98 6 6.02 6.04 6.26 6.32 6.45 6.49 6.55 6.61 Sysmiss b6_assistance b6_assistance b6_assistance b6_assistance b6_assistance 21 978 3 10 3 4 5 6 10 Sysmiss b6_familybiz b6_familybiz b6_familybiz b6_familybiz b6_familybiz 21 978 4 12 4 6 7 8 9 10 11 12 Sysmiss b6_familyfarm b6_familyfarm b6_familyfarm b6_familyfarm b6_familyfarm 21 978 1 22 1 2 3 4 5 6 10 11 12 14 19 22 Sysmiss b6_gov b6_gov b6_gov b6_gov b6_gov 21 978 5 20 5 6 7 8 9 11 12 14 15 18 20 Sysmiss b6_invest b6_invest b6_invest b6_invest b6_invest 21 978 7 15 7 8 9 10 11 12 14 15 Sysmiss b6_ngo b6_ngo b6_ngo b6_ngo b6_ngo 21 978 1 4 1 2 3 4 Sysmiss b6_nonfam b6_nonfam b6_nonfam b6_nonfam b6_nonfam 21 978 1 8 1 2 3 4 7 8 Sysmiss b6_oth b6_oth b6_oth b6_oth b6_oth 21 978 6 14 6 8 9 10 11 12 13 14 Sysmiss b6_pension b6_pension b6_pension b6_pension b6_pension 21 978 7 20 7 8 9 11 13 14 15 16 17 18 19 20 Sysmiss b6_remittances b6_remittances b6_remittances b6_remittances b6_remittances 21 978 1 8 1 2 3 4 6 7 8 Sysmiss b6_unemploy b6_unemploy b6_unemploy b6_unemploy b6_unemploy 21 978 2 14 2 3 4 5 6 7 8 9 11 13 14 Sysmiss b6_wage b6_wage b6_wage b6_wage b6_wage 21 978 19 58 19 21 23 24 25 33 34 41 43 44 45 46 47 48 49 52 54 56 58 Sysmiss b7_full b7_full b7_full b7_full b7_full 21 978 22 81 22 23 25 26 28 31 33 35 37 39 42 53 54 56 72 73 77 79 81 Sysmiss b7_limited b7_limited b7_limited b7_limited b7_limited 21 978 19 78 19 21 23 27 28 44 46 47 58 61 63 65 67 69 72 74 75 77 78 Sysmiss b8 b8 b8 b8 b8 21 978 10 39 10 16 18 23 26 28 29 30 31 32 33 34 36 39 Sysmiss b9 b9 b9 b9 b9 21 978 11 44 11 19 20 22 25 27 28 30 31 32 34 35 36 37 38 44 Sysmiss b10_yes b10_yes b10_yes b10_yes b10_yes 21 978 23 72 23 28 30 32 33 34 39 43 44 46 47 51 55 69 70 72 Sysmiss b10_no b10_no b10_no b10_no b10_no 21 978 28 77 28 30 31 45 49 53 54 56 57 61 66 67 68 70 72 77 Sysmiss c1_elderly c1_elderly c1_elderly c1_elderly c1_elderly 21 978 8 27 8 9 10 11 12 13 14 15 16 17 25 26 27 Sysmiss c1_disability c1_disability c1_disability c1_disability c1_disability 21 978 6 14 6 7 8 9 10 11 12 14 Sysmiss c1_isolate c1_isolate c1_isolate c1_isolate c1_isolate 21 978 5 13 5 7 8 9 10 11 12 13 Sysmiss c1_none c1_none c1_none c1_none c1_none 21 978 33 58 33 35 36 38 39 40 42 44 45 47 48 49 50 51 55 56 58 Sysmiss c1_preschool c1_preschool c1_preschool c1_preschool c1_preschool 21 978 12 24 12 13 14 16 17 19 21 22 23 24 Sysmiss c1_school c1_school c1_school c1_school c1_school 21 978 20 36 20 23 24 25 26 27 28 30 31 32 36 Sysmiss c1a_all c1a_all c1a_all c1a_all c1a_all 21 978 19 50 19 23 26 27 28 29 30 31 33 34 36 40 45 47 50 Sysmiss c1a_occasionally c1a_occasionally c1a_occasionally c1a_occasionally c1a_occasionally 21 978 50 81 50 53 55 60 64 66 67 69 70 71 72 73 74 77 81 Sysmiss c1b_spouse c1b_spouse c1b_spouse c1b_spouse c1b_spouse 21 978 20 56 20 21 32 33 34 35 39 41 42 47 50 51 52 56 Sysmiss c1c_hours_care c1c_hours_care c1c_hours_care c1c_hours_care c1c_hours_care 21 978 6.2 12.12 6.2 6.4 6.44 6.54 6.65 6.88 7.38 7.92 7.98 8.07 8.16 8.17 8.25 8.4 9.25 9.59 9.66 9.69 10.26 10.63 12.12 Sysmiss c1d_increase c1d_increase c1d_increase c1d_increase c1d_increase 21 978 41 62 41 44 46 47 48 50 51 53 55 57 58 60 62 Sysmiss c1d_same c1d_same c1d_same c1d_same c1d_same 21 978 21 43 21 22 23 24 25 26 27 29 30 31 32 36 37 39 40 41 43 Sysmiss c1d_decrease c1d_decrease c1d_decrease c1d_decrease c1d_decrease 21 978 3 27 3 4 5 7 8 9 10 11 18 24 27 Sysmiss c2_animals c2_animals c2_animals c2_animals c2_animals 21 978 8 47 8 9 10 12 13 14 15 16 17 23 29 33 35 38 40 41 44 47 Sysmiss c2_business c2_business c2_business c2_business c2_business 21 978 8 20 8 10 12 13 15 16 17 18 19 20 Sysmiss c2_clean c2_clean c2_clean c2_clean c2_clean 21 978 24 88 24 29 35 44 45 46 50 57 61 63 66 67 72 74 78 82 84 88 Sysmiss c2_cook c2_cook c2_cook c2_cook c2_cook 21 978 20 78 20 23 24 29 35 40 43 44 53 55 57 59 61 63 72 74 78 Sysmiss c2_farm c2_farm c2_farm c2_farm c2_farm 21 978 1 21 1 3 4 5 6 7 8 9 10 11 12 16 18 21 Sysmiss c2_hhmanage c2_hhmanage c2_hhmanage c2_hhmanage c2_hhmanage 21 978 19 70 19 25 27 28 29 32 33 37 38 52 53 54 63 67 70 Sysmiss c2_none c2_none c2_none c2_none c2_none 21 978 3 15 3 4 5 7 8 9 11 15 Sysmiss c2_other c2_other c2_other c2_other c2_other 21 978 1 4 1 2 3 4 Sysmiss c2_shop c2_shop c2_shop c2_shop c2_shop 21 978 31 70 31 32 34 36 38 39 40 42 46 57 59 60 63 65 70 Sysmiss c2_water_fuel c2_water_fuel c2_water_fuel c2_water_fuel c2_water_fuel 21 978 7 21 7 8 9 11 12 13 15 17 18 19 21 Sysmiss c2a_no c2a_no c2a_no c2a_no c2a_no 21 978 9 27 9 11 14 15 16 17 18 19 21 23 24 27 Sysmiss c2a_yes c2a_yes c2a_yes c2a_yes c2a_yes 21 978 73 91 73 76 77 79 81 82 83 84 85 86 89 91 Sysmiss c2b_spouse c2b_spouse c2b_spouse c2b_spouse c2b_spouse 21 978 12 63 12 18 19 23 25 26 27 30 33 35 38 41 44 48 50 53 55 56 58 60 63 Sysmiss c2c_hours_chores c2c_hours_chores c2c_hours_chores c2c_hours_chores c2c_hours_chores 21 978 2.64 5.64 2.64 2.75 2.94 2.99 3.2 3.21 3.24 3.41 3.61 3.73 4.13 4.32 4.33 4.43 4.46 4.62 4.95 5.12 5.26 5.64 Sysmiss c2d_increase c2d_increase c2d_increase c2d_increase c2d_increase 21 978 34 58 34 35 36 37 38 40 41 43 45 46 47 50 52 53 55 58 Sysmiss c2d_same c2d_same c2d_same c2d_same c2d_same 21 978 27 56 27 28 29 30 32 33 34 38 44 49 50 51 52 56 Sysmiss c2d_decrease c2d_decrease c2d_decrease c2d_decrease c2d_decrease 21 978 3 11 3 4 5 6 7 8 9 11 Sysmiss c3_Agree c3_Agree c3_Agree c3_Agree c3_Agree 21 978 22 83 22 23 24 32 35 37 39 45 47 49 50 51 57 63 66 67 68 72 73 83 Sysmiss c3_neutral c3_neutral c3_neutral c3_neutral c3_neutral 21 978 8 38 8 10 11 12 13 17 21 23 25 27 29 36 37 38 Sysmiss c3_disagree c3_disagree c3_disagree c3_disagree c3_disagree 21 978 9 51 9 16 17 19 20 22 23 24 26 27 28 30 32 36 49 50 51 Sysmiss c4_housewife_other c4_housewife_other c4_housewife_other c4_housewife_other c4_housewife_other 21 978 4.99 7.38 4.99 5.33 5.56 5.65 5.74 5.75 5.79 5.91 6.09 6.16 6.28 6.4 6.49 6.66 6.7 6.8 6.89 7.06 7.1 7.22 7.38 Sysmiss d0 d0 d0 d0 d0 21 978 47 67 47 50 51 52 53 54 55 56 57 58 59 62 64 66 67 Sysmiss d1 d1 d1 d1 d1 21 978 3 18 3 4 5 6 7 8 9 10 11 13 14 15 16 18 Sysmiss d4_computer d4_computer d4_computer d4_computer d4_computer 21 978 16 78 16 21 23 30 37 38 39 41 44 45 50 65 76 77 78 Sysmiss d4_home d4_home d4_home d4_home d4_home 21 978 16 59 16 19 21 31 33 34 36 38 41 42 43 44 45 48 50 57 58 59 Sysmiss d4_land d4_land d4_land d4_land d4_land 21 978 9 34 9 10 11 13 14 15 17 18 19 20 21 24 25 28 29 34 Sysmiss d4_none d4_none d4_none d4_none d4_none 21 978 3 23 3 4 5 6 8 9 10 11 12 13 15 16 17 19 23 Sysmiss d4_phone d4_phone d4_phone d4_phone d4_phone 21 978 63 89 63 64 66 67 72 73 74 79 80 83 84 85 86 89 Sysmiss d4_vehicle d4_vehicle d4_vehicle d4_vehicle d4_vehicle 21 978 7 80 7 11 13 22 27 30 32 36 38 43 44 47 48 52 55 60 75 77 80 Sysmiss d5_agree d5_agree d5_agree d5_agree d5_agree 21 978 13 52 13 14 21 22 23 26 28 29 31 34 35 38 41 44 49 50 51 52 Sysmiss d5_neutral d5_neutral d5_neutral d5_neutral d5_neutral 21 978 11 22 11 12 13 14 15 16 17 18 19 21 22 Sysmiss d5_disagree d5_disagree d5_disagree d5_disagree d5_disagree 21 978 36 73 36 38 40 42 43 44 45 47 49 50 57 60 61 64 71 72 73 Sysmiss d6_health d6_health d6_health d6_health d6_health 21 978 11 24 11 13 14 15 17 18 19 20 21 22 24 Sysmiss d6_isolate d6_isolate d6_isolate d6_isolate d6_isolate 21 978 15 59 15 16 18 19 24 25 26 29 32 33 35 40 45 48 53 57 59 Sysmiss d6_job d6_job d6_job d6_job d6_job 21 978 13 30 13 15 17 19 21 23 24 25 26 27 28 30 Sysmiss d6_medical d6_medical d6_medical d6_medical d6_medical 21 978 11 31 11 12 13 14 15 20 21 24 26 27 28 29 31 Sysmiss d6_migrate d6_migrate d6_migrate d6_migrate d6_migrate 21 978 3 12 3 4 5 6 7 8 10 12 Sysmiss d6_none d6_none d6_none d6_none d6_none 21 978 8 27 8 11 14 16 18 19 20 21 22 23 25 26 27 Sysmiss d6_other d6_other d6_other d6_other d6_other 21 978 3 11 3 4 5 6 7 8 9 10 11 Sysmiss d6_personal d6_personal d6_personal d6_personal d6_personal 21 978 4 18 4 5 8 12 13 14 15 16 18 Sysmiss d6_school d6_school d6_school d6_school d6_school 21 978 19 51 19 21 23 25 26 27 28 30 32 34 36 39 42 46 51 Sysmiss d6_transport d6_transport d6_transport d6_transport d6_transport 21 978 8 30 8 9 14 15 18 20 21 22 23 25 28 29 30 Sysmiss d6_wait d6_wait d6_wait d6_wait d6_wait 21 978 10 36 10 11 12 13 14 15 18 20 21 23 25 29 33 36 Sysmiss d7_bored d7_bored d7_bored d7_bored d7_bored 21 978 20 36 20 22 23 24 25 26 27 30 31 32 33 35 36 Sysmiss d7_food d7_food d7_food d7_food d7_food 21 978 21 53 21 22 26 27 28 29 31 32 34 35 37 45 50 53 Sysmiss d7_health d7_health d7_health d7_health d7_health 21 978 16 40 16 19 20 21 22 23 24 25 26 27 28 29 30 33 37 40 Sysmiss d7_info d7_info d7_info d7_info d7_info 21 978 12 42 12 13 14 17 19 20 21 22 23 26 40 41 42 Sysmiss d7_loan d7_loan d7_loan d7_loan d7_loan 21 978 13 24 13 16 17 18 19 20 22 24 Sysmiss d7_money d7_money d7_money d7_money d7_money 21 978 25 57 25 28 29 31 32 33 34 35 37 39 53 55 57 Sysmiss d7_none d7_none d7_none d7_none d7_none 21 978 2 8 2 3 4 7 8 Sysmiss d7_stuck d7_stuck d7_stuck d7_stuck d7_stuck 21 978 23 42 23 26 30 31 32 33 34 35 36 37 38 39 41 42 Sysmiss d7_work d7_work d7_work d7_work d7_work 21 978 26 46 26 27 29 30 31 33 34 35 36 38 41 42 43 44 45 46 Sysmiss