{"text_format":"1","workbook":"xlsx","n_sheets":3,"sheets":["Description","Dashboard indicators","Dashboard to print"],"not_rendered":{"charts":33,"images":11,"macros":1,"external_links":0,"defined_names":1,"comments":2,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900"}

{"sheet":"Description","index":0,"n_rows":72,"n_cols":11,"rows_kept":72,"cut":false,"hidden":false,"merged":[[27,5,29,5],[24,5,26,5],[10,4,10,5],[11,4,11,5],[12,4,12,5],[13,4,13,5],[14,4,14,5],[15,4,15,5],[3,4,3,5],[4,4,4,5],[5,4,5,5],[6,4,6,5],[7,4,7,5],[27,7,29,7],[27,8,29,8],[27,9,29,9],[27,10,29,10],[21,7,23,7],[21,8,23,8],[21,9,23,9],[21,10,23,10],[24,7,26,7],[24,8,26,8],[24,9,26,9],[24,10,26,10]]}
[]
[null,"Welcome to the NIPN dashboard !"]
[]
[null,null,null,null,"This excel file is meant for you to build your Sub-National Nutrition Dashboard."]
[null,null,null,null,"There are 3 spreadsheets:"]
[null,null,null,null,"\"Description\" details the legend and comments on the list of indicators included"]
[null,null,null,null,"\"Dashboard indicators\" is where you need to provide the data for each indicator for each region"]
[null,null,null,null,"\"Dashboard to print\" is mostly an automatic display of your data in a ready to print dashboard"]
[]
[null,"Legend"]
[null,null,null,null,"when the cells are in grey, it means it is a formula: no need to enter the data directly"]
[null,null,null,11.2,"All numbers in Black are data from an anonymous non-nipn country and represented here just for the purpose of illustrating a meaningfull dashboard. You may delete all the data and enter your country data."]
[null,null,null,12.3,"All numbers in red are \"FAKE\" data (just made up for the purpose of illustrating the dashbaord)"]
[null,null,null,"NA","is for \"Not Available\" : when there is no data. It is worth mentioning and illustrating in the dashboard to also point out issues of availability of data"]
[null,null,null,"% Hoh accessing Social Safety Net Programme","When the name of the variable is in red, it means it is not a classic / standard indicator. It highlights indicators that would typically be interesting to have but that are not collected through classic surveys or not standardised. Those indicators are meant to inspire NIPN teams to explore all the data available, not being limited by DHS - MICS standard indicators. For example, the coverage of the National Safety Net Program in Ethiopia is a very valuable indicator worth including in this dashboard. The dashboard provision some space for those contextual indicators.They are important in particular for \"Budget allocation in nutrition\" , \"Enabling Environment\", \"Nutrition Sensitive Intervention\". "]
[null,null,null,"Text zones in the \"dashboard to print\" spreadsheet","All the text in purple in the \"dashboard to print\" spreadsheet correspond to text you will have to change based on the results you will find for your country"]
[]
[null,"Comments on the indicators included in the dashboard"]
[]
[]
[null,null,null,"Nb","Short Name of indicator","Comment","SUN National Dashboard indicator reference","SDG Framework","World Health Assembly Global Targets","World Health Assembly MIYCN Framework","Others"]
[null,null,null,1,"Prevalence of Stunting","We selected the trend from 2005 to 2015 but this will depend on your data availability. If you are in Africa you may use IHME modeled data (https://vizhub.healthdata.org/lbd/cgf#)  (but then we recommend to use the spotted map images (contact the GSF for more insights).","no","SDG 2.2.1",null,"Core"]
[null,null,null,2,"Prevalence of Stunting",null,"no"]
[null,null,null,3,"Prevalence of Stunting","repetition of indicator 15","7.1"]
[null,null,null,4,"Number of Children","Estimated from WPP (https://population.un.org/wpp/)","no"]
[null,null,null,5,"Number of Children",null,"no"]
[null,null,null,6,"Number of Children",null,"no"]
[null,null,null,7,"Number of Stunted Children","Estimated by multiplying Number of children U5 * Prevalence of Stunting","no"]
[null,null,null,8,"Number of Stunted Children",null,"no"]
[null,null,null,9,"Number of Stunted Children",null,"no"]
[null,null,null,10,"Prevalence of Anaemia","Note that the SUN MEAL National Dashboard uses WHO modeled data for pregnant and non-pregnant women (separate indicators). Here we use DHS data for all women 15-49 years (includes both pregnant and non-pregnant women).","7.5",null,"WHA Global Nutrition Target","Core"]
[null,null,null,11,"Prevalence of Low Birth Weight",null,"7.2",null,"WHA Global Nutrition Target","Core"]
[null,null,null,12,"Prevalence of Low Body Mass Index","Note that the SUN MEAL National Dashboard uses NCD RisC modeled data (www.ncdrisc.org) for adult women (18+ years). Here we use DHS data for women 15-49 years.","7.7",null,null,"Core"]
[null,null,null,13,"Prevalence of Overweight and Obesity","Note that the SUN MEAL National Dashboard uses NCD RisC modeled data (www.ncdrisc.org) for adult women (18+ years). Here we use DHS data for women 15-49 years.","7.10",null,"NCD Global Target","Core"]
[null,null,null,14,"Prevalence of Overweight",null,"7.3","SDG 2.2.2","WHA Global Nutrition Target"]
[null,null,null,15,"Prevalence of Stunting",null,"7.1","SDG 2.2.1","WHA Global Nutrition Target"]
[null,null,null,16,"Prevalence of Wasting",null,"7.4","SDG 2.2.2","WHA Global Nutrition Target"]
[null,null,null,17,"Prevalence of Malaria","Note that SDG and SUN uses national data on malaria incidence but no data exist at sub national level. We use data on Prevalence of malaria among children U5 that is available from DHS - MICS at sub national level.","5.4","SDG 3.3.3",null,"Extended"]
[null,null,null,18,"Prevalence of Diarrhoea",null,"5.1",null,null,"Core"]
[null,null,null,19,"Prevalence of Early Initiation of Breastfeeding",null,"6.2",null,null,"Extended"]
[null,null,null,20,"Prevalence of Exclusive Breastfeeding",null,"6.1",null,"WHA Global Nutrition Target","Core"]
[null,null,null,21,"Prevalence of Minimum Acceptable Diet","Note: based in part on Minimum Diet Diversity results (see note on indicator 22 below regarding revised definition for MDD)","6.3",null,null,"Core"]
[null,null,null,22,"Prevalence of Minimum Diet Diversity","Note: Previous definition was 4 groups out of 7 groups but the definition recently changed to 5 out of 8, adding breastmilk as a category – see indicator in DHS website (https://www.dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm)","6.4"]
[null,null,null,23,"Coverage of Deworming","WHO does not recommend deworming for 6-12m but the standard DHS indicator is based on 6-59m children. If feasible, better using 12-59m age group in countries applying WHO recommendations.","3.8",null,null,"Extended","NutriDash"]
[null,null,null,24,"Coverage of Oral Rehydratation Salt treatment","DHS report on treatment by ORS and with zinc as 2 distinct indicators. If a combined indicator (% treated with ORS AND Zinc) is available, it is a better indicator since it is recommended by WHO that both ORS and zinc are used in the management of diarrhoea.","no",null,null,"Extended"]
[null,null,null,25,"Coverage of presence of Iodised Salt",null,"3.6",null,null,"Extended"]
[null,null,null,26,"Coverage of Iron Supplementation",null,"3.4",null,null,"Core"]
[null,null,null,27,"Coverage of use of Insecticide Treated Mosquito Nets",null,"3.9",null,null,"Extended"]
[null,null,null,28,"Coverage of Vitamin A supplementation","DHS MICS indicators are calculated based on the past 6 months","3.3",null,null,"Core","NutriDash"]
[null,null,null,29,"Coverage of treatment of Severe Acute Malnutrition","While the SUN MEAL national dashboards use data from coverage surveys (http://www.coverage-monitoring.org/), it is recommended to identify a reliable source of data available at the subnational level in your country.","3.2",null,null,"Extended","NutriDash;\nNo Wasted Lives"]
[null,null,null,30,"Coverage of IYCF promotion programmes","Typical indicator where there is no standard definition but good to find out if data is available in your country. See recent discussion in WHO meeting : https://www.who.int/nutrition/team/joint-consultation-nutrition-counselling-interventions-report.pdf?ua=1","no",null,null,"Core","NutriDash"]
[null,null,null,31,"Gross rate of Female Secondary School Enrollment","The rate can exceed 100% due to inclusion of overaged/underaged students (early or late school entrance and grade repetition). If gross rate data is not available from Min. of education, the net rate is available from DHS data. Note that the gross rate and net rate provide very different estimates.","5.12"]
[null,null,null,32,"Proportion of population below poverty line","While the SUN MEAL dashboards use data based on the proportion of the population below the international poverty line, it is expected that subnational data may only be available for poverty estimates using the national poverty line.","8.1","SDG 1.1.1"]
[null,null,null,33,"Coverage of Basic Sanitation facility","For JMP (https://washdata.org/data):  \"A basic sanitation service is defined as use of an improved sanitation facility which is not shared with other households.\" ; for DHS \"improved sanitation does not include shared facilities\" so a DHS-improved sanitation is equivalent to a JMP- basic sanitation","5.3","SDG 6.2.1"]
[null,null,null,34,"Coverage of Safely Managed Drinking Water","DHS separates time to access & type of source. A combined indicator is used to measure safe management.","5.2","SDG 6.1.1"]
[null,null,null,35,"Proportion of expenditures allocated for food",null,"no"]
[null,null,null,36,"Proportion of Health Services with essential medicines available","Typical indicator where there is no standard definition but good to find out if data is available in your country. This indicator is taken from a survey called SARA done by UNICEF on health facilities.","no"]
[null,null,null,37,"Annual Birth Rate",null,"5.6","SDG 3.7.2"]
[null,null,null,38,"Coverage of 4+ Antenatal Care visits",null,"no"]
[null,null,null,39,"Coverage of family planning demand satisfied with modern methods","Definition of indicator not consistent accross countries and time, check  https://www.dhsprogram.com/pubs/pdf/OD63/OD63%5b12June2012_English%5d.pdf","3.11","SDG 3.7.1"]
[null,null,null,40,"Coverage of Total Sanitation Programmes","Typical indicator where there is no standard definition but good to find out if data is available in your country.","no"]
[null,null,null,41,"Coverage of Social Safety Net Programme","Typical indicator where there is no standard definition but good to find out if data is available in your country.","no","SDG 1.3.1"]
[null,null,null,42,"Coverage of DTP3 immunisation","Definition can vary over time. Check DHS website. Considered as a proxy indicator on how well health services are functioning for vaccination","3.10",null,null,"Extended"]
[null,null,null,43,"National Budget per child U5 for nutrition-specific interventions","In many countries, such data is only available if a SUN budget classification has been done. Contact GSF or SUN for more information.","2.1"]
[null,null,null,44,"Proportion of Nutrition Budget for Treatment of SAM",null,"no"]
[null,null,null,45,"Proportion of Nutrition Budget for Nutrition Specific Interventions","In many countries, such data is only available if a SUN budget classification has been done. Contact GSF or SUN for more information.","no"]
[null,null,null,46,"Proportion of Districts with a District Nutrition Plan of Action","Typical indicator where there is no standard definition but good to find out a country specific indicator.","no"]
[null,null,null,47,"Proportion of Districts with a Digital Nutrition Information System","Typical indicator where there is no standard definition but good to find out a country specific indicator.","no"]
[null,null,null,48,"International Code of Marketing of Breast-Milk Substitutes (BMS Code) legal measures","SUN MEAL dashboard specifies whether countries have legal measures in place covering all, many or few provisions of the Code.","4.1",null,null,"Core"]
[null,null,null,49,"Legislation on Iodised Salt",null,"4.5",null,null,null,"Iodine Global Network"]
[null,null,null,50,"Legislation on flour fortification","SUN MEAL considers status for both maize and wheat flours; also rice if this is a staple food","4.5",null,null,null,"Global Fortification Data Exchange"]
[null,null,null,51,"Legislation on vegetable oil fortification",null,"4.5",null,null,null,"Global Fortification Data Exchange"]

{"sheet":"Dashboard indicators","index":1,"n_rows":85,"n_cols":20,"rows_kept":85,"cut":false,"hidden":false,"merged":[]}
["Nb","Domain","Short Name of indicator","Category of population covered by the indicator","Definition","numerator","denominator","Source of information","Unit","Year of data collection","Moyenne nationale","Western","Nyanza","Rift Valley","Eastern","Center","North Eastern","Coast","Nairobi"]
[1,"0.Front Page","Prevalence of Stunting","Children 0-59m.","Under-5 stunting prevalence (low height-for-age <-2 SD)","Number of children (0-59m) whose height-for-age z-score is below minus 2 (‑2.0) standard deviations (SD) below the mean on the WHO Child Growth Standards (hc70 < -200)","Number of children (0-59m)","DHS (2005)","%",2005,{"$f":"K8*100/K5","v":47.490146462045686},49,58,60,55,49,44,40,38]
[2,"0.Front Page","Prevalence of Stunting","Children 0-59m.","Under-5 stunting prevalence (low height-for-age <-2 SD)","Number of children (0-59m) whose height-for-age z-score is below minus 2 (‑2.0) standard deviations (SD) below the mean on the WHO Child Growth Standards (hc70 < -200)","Number of children (0-59m)","DHS (2010)","%",2010,{"$f":"100*K9/K6","v":45.277644743375333},47.9,55.4,57.65,50.1,46.6,42.95,37.85,37]
[3,"0.Front Page","Prevalence of Stunting","Children 0-59m.","Under-5 stunting prevalence (low height-for-age <-2 SD)","Number of children (0-59m) whose height-for-age z-score is below minus 2 (‑2.0) standard deviations (SD) below the mean on the WHO Child Growth Standards (hc70 < -200)","Number of children (0-59m)","DHS (2015)","%",2015,{"$f":"100*K10/K7","v":43.065143024704987},46.8,52.8,55.3,45.2,44.2,41.9,35.700000000000003,36]
[4,"0.Front Page","Number of Children","Children 0-59m.","Nb of children 0-59m","Modeled Number of children (0-59m)","NA","UN Department of Economic and Social Affairs (UNDESA), Population Division. World Population Prospects: The 2017 revision, 2017. Available at: https://esa.un.org/unpd/wpp/Download/Standard/Population/","Nb",2005,3826000,740602.12691214751,711243.00210884993,384032.46545242227,303327.97958459234,292134.8070831704,275343.2149106494,262122.2794600371,252323.77574457589]
[5,"0.Front Page","Number of Children","Children 0-59m.","Nb of children 0-59m","Modeled Number of children (0-59m)","NA","UN Department of Economic and Social Affairs (UNDESA), Population Division. World Population Prospects: The 2017 revision, 2017. Available at: https://esa.un.org/unpd/wpp/Download/Standard/Population/","Nb",2010,4339000,839903.98031150235,806608.30793264508,435524.53413435968,343998.98155189387,331304.99945997813,312261.94707195705,297268.31431706768,286156.00181801227]
[6,"0.Front Page","Number of Children","Children 0-59m.","Nb of children 0-59m","Modeled Number of children (0-59m)","NA","UN Department of Economic and Social Affairs (UNDESA), Population Division. World Population Prospects: The 2017 revision, 2017. Available at: https://esa.un.org/unpd/wpp/Download/Standard/Population/","Nb",2015,4844000,937657.26679624734,900486.4354979794,486213.60759318696,384035.73787448124,369864.35063012998,348604.94851729891,331866.26286053832,319460.6298240266]
[7,"0.Front Page","Number of Stunted Children","Children 0-59m.","Nb of stunted children : estimated prevalence of stunting * estimated Nb of children U5","Modeled Number of children (0-59m) * Under-5 stunting prevalence (low height-for-age <-2 SD)",null,null,"children <5y.",2005,1816973.0036378677,362895.04218695231,412520.94122313301,230419.47927145337,166830.38877152579,143146.05547075349,121151.01456068574,104848.91178401484,95883.034782938848]
[8,"0.Front Page","Number of Stunted Children","Children 0-59m.","Nb of stunted children : estimated prevalence of stunting * estimated Nb of children U6","Modeled Number of children (0-59m) * Under-5 stunting prevalence (low height-for-age <-2 SD)",null,null,"children <5y.",2010,1964597.0054150557,402314.00656920963,446861.00259468536,251079.89392845836,172343.48975749884,154388.12974834983,134116.50626740555,112516.05696901013,105877.72067266455]
[9,"0.Front Page","Number of Stunted Children","Children 0-59m.","Nb of stunted children : estimated prevalence of stunting * estimated Nb of children U7","Modeled Number of children (0-59m) * Under-5 stunting prevalence (low height-for-age <-2 SD)",null,null,"children <5y.",2015,2086075.5281167096,438823.60086064378,475456.83794293308,268876.12499903236,173584.15351926553,163480.04297851748,146065.47342874823,118476.2558412122,115005.82673664957]
[10,"1. Nutrition Situation","Prevalence of Anaemia","Women of Reproductive Age 15-49y.","Anaemia prevalence in women of reproductive age","Number of not pregnant women whose hemoglobin count is less than 12.0 grams per deciliter (g/dl) plus number of pregnant women whose count is less than 11.0 g/dl","Number of women age 15-49 years measured for anemia in households selected for anemia testing","DHS (2015)","%",2015,54,41.1,61.5,51.5,61.7,53.8,42.6,58,56.8]
[11,"1. Nutrition Situation","Prevalence of Low Birth Weight","Infants born","Low birthweight (infants born < 2500 g) prevalence","Number of live births in the 5 years preceding the survey who were weighed at birth and were reported as weighing less than 2.5 kg","Number of live births in the last 5 years who were weighed at birth","DHS (2015)","%",2015,14.1,18.2,16,17,14,13.2,13.6,15.1,11.1]
[12,"1. Nutrition Situation","Prevalence of Low Body Mass Index","Women of Reproductive Age 15-49y.","Low BMI (<18.5) in WRA (15-49y)","Number of non-pregnant, non-postpartum women of reproductive age (15-49y) with a body mass index (BMI) < 18,5","Number of non-pregnant, non-postpartum women of reproductive age (15-49y)","DHS (2015)","%",2015,8.6,9.4,8.8000000000000007,5.8,14,10.1,8.5,10.1,4.5999999999999996]
[13,"1. Nutrition Situation","Prevalence of Overweight and Obesity","Women of Reproductive Age 15-49y.","Overweight & obese prevalence among Women of Reproductive Age (BMI>25)","Number of non-pregnant, non-postpartum women age 15-49 with a body mass index (BMI) > 25","Number of women age 15–49, excluding women who are pregnant or who gave birth in the 2 months preceding the date of the interview, with a valid BMI","DHS (2015)","%",2015,16.399999999999999,12.4,12.3,14.4,5.7,10.1,14.6,10.7,26.1]
[14,"1. Nutrition Situation","Prevalence of Overweight","Children 0-59m.","Under-5 overweight prevalence","Number of children whose weight-for-height z-score is above plus 2 (+2.0) standard deviations (SD) above the mean on the WHO Child Growth Standards (hc72 > 200 & hc72 < 9990)","Number of children (0-59m)","DHS (2015)","%",2015,7.4,6.9,6.4,8.9,4.5999999999999996,6.7,10.3,7.4,10.8]
[15,"1. Nutrition Situation","Prevalence of Stunting","Children 0-59m.","Under-5 stunting prevalence (low height-for-age <-2 SD)","Number of children (0-59m) whose height-for-age z-score is below minus 2 (‑2.0) standard deviations (SD) below the mean on the WHO Child Growth Standards (hc70 < -200)","Number of children (0-59m)","DHS (2015)","%",2015,42.6,46.8,52.8,55.3,45.2,44.2,41.9,35.700000000000003,36]
[16,"1. Nutrition Situation","Prevalence of Wasting","Children 0-59m.","Under-5 wasting prevalence (weight-for-height < -2SD)","Number of children (0-59m) whose weight-for-height z-score is below minus 2 (‑2.0) standard deviations (SD) below the mean on the WHO Child Growth Standards (hc72 < -200)","Number of children (0-59m)","DHS (2015)","%",2015,5.9,3.7,5.6,6.5,9.4,5.6,6.7,7.4,2.2000000000000002]
[17,"2. Immediate Determinants of Malnutrition","Prevalence of Malaria","Children 6-59m.","Malaria prevalence in children aged 6-59m","Nb of children age 6-59 months classified as having malaria according to a rapid diagnostic test (RDT)","Nb of children age 6-59 months passing a rapid diagnostic test (RDT)","DHS (2015)","case per 1000 p.y.",2015,38.299999999999997,52.2,47.1,43.3,55,36.9,28.2,30.7,36.799999999999997]
[18,"2. Immediate Determinants of Malnutrition","Prevalence of Diarrhoea","Children 0-59m.","Proportion of children 0-59m who had diarrhea in the two weeks preceding the survey","Number of living children under age 5 with diarrhea in the 2 weeks preceding the survey","Number of living children under age 5","MICS (2017)","%",2017,11.1,10.8,4.0999999999999996,10.3,14,13.8,9.8000000000000007,14.5,4.5]
[19,"2. Immediate Determinants of Malnutrition","Prevalence of Early Initiation of Breastfeeding","Infants born","Proportion of children born in the last 24 months who were put to the breast within one hour of birth","Number of last-born children age 0-23 months who started breastfeeding within one hour of birth","Number of last-born children who were born in the 2 years preceding the survey","MICS (2017)","%",2017,76.7,95.2,68.599999999999994,88.6,75.7,79.3,51.5,"NA",76.8]
[20,"2. Immediate Determinants of Malnutrition","Prevalence of Exclusive Breastfeeding","Infants 0-5m.","Percentage of infants 0–5 months old who were exclusively breastfed (received only breastmilk during the previous day)","Number of youngest children under 2 years who are living with their mother who were given Breastfeeding and nothing else in the 24 hours preceding the interview","Number of youngest children who were born in the 2 years preceding the survey and are living with their mother","MICS (2017)","%",2017,40,26.6,52,41.6,35.700000000000003,41.5,28.8,38.1,30.2]
[21,"2. Immediate Determinants of Malnutrition","Prevalence of Minimum Acceptable Diet","Children 6-23m.","Percentage of breastfed children 6–23 months of age who had at least the minimum dietary diversity and the minimum meal frequency during the previous day AND percentage of non-breastfed children 6–23 months of age who received at least 2 milk feedings and had at least the minimum dietary diversity not including milk feeds and the minimum meal frequency during the previous day.","see definition","see definition","UNICEF Global Database (Jan 2018) http://data.unicef.org/nutrition/iycf.html","%",2015,13,27.1,0.6,11.1,30.9,0.2,7.8,11.9,8.1999999999999993]
[22,"2. Immediate Determinants of Malnutrition","Prevalence of Minimum Diet Diversity","Children 6-23m.","Proportion of children aged 6 to 23 months receiving Minimum Diet Diversity (MDD)","Number of youngest children age 6-23 months living with the mother who were fed with a minimum dietary diversity of 5","Number of youngest children age 6-23 months living with the mother","DHS (2015)","%",2015,30.1,60.9,4.8,23.9,45.4,37.9,20.2,29.2,19.3]
[23,"3. Nutrition Specific Interventions","Coverage of Deworming","Children 6-59m.","Proportion of children 6-59 months who received deworming","Number of living children 6-59 months who received deworming medication in the six months preceding the interview","Number of living children 6-59 months","DHS (2015)","%",2015,46.3,46,52.9,48.8,27.9,28.6,79.900000000000006,58.2,35.799999999999997]
[24,"3. Nutrition Specific Interventions","Coverage of Oral Rehydratation Salt treatment","Children 0-59m. With Diarrhoea","Proportion of children under 5 with diarrhoea receiving ORS","Number of living children under age 5 with diarrhea at any time during the 2 weeks preceding the interview who were given ORS","Number of children under age 5 with diarrhea in the 2 weeks preceding the interview","MICS (2017)","%",2015,55,86.3,24.2,62.8,39.4,37.200000000000003,73.8,73.599999999999994,57.4]
[25,"3. Nutrition Specific Interventions","Coverage of presence of Iodised Salt","All households","Percentage of households that have iodized salt (>0ppm)","Nb of households with salt tested which contained iodized salt","Number of households where salt was tested for iodine content","DHS (2015)","%",2015,44.8,52.7,6.5,26.1,18,59.4,81.3,55.6,74.400000000000006]
[26,"3. Nutrition Specific Interventions","Coverage of Iron Supplementation","Pregnant Women","Proportion of women who reported taking Iron tablets or syrup for 90+ days during most recent pregnancy","Number of women with a birth in the 5 years preceding the survey who took iron tablets or syrup during the pregnancy of their last birth for more than 90 days","Number of women with a birth in the 5 years preceding the survey","DHS (2015)","%",2015,25.9,3.3,16.7,9.8000000000000007,10.7,31.1,54,60.6,13.7]
[27,"3. Nutrition Specific Interventions","Coverage of use of Insecticide Treated Mosquito Nets","Children 0-59m.","Percentage of children under age 5 who slept under an insecticide-treated mosquito net the night prior to the survey.","Number of de facto children under age 5 who reported sleeping under an ITN the night before the survey","Number of children under age 5 in the de facto household population","DHS (2015)","%",2015,35.700000000000003,38.9,49.8,51.1,31.6,31.5,38,39.9,24.3]
[28,"3. Nutrition Specific Interventions","Coverage of Vitamin A supplementation","Children 6-59m.","Proportion of 6- to 59-month-olds receiving two high-dose vitamin A supplements","Number of living children 6-59 months who received vitamin A supplements in the six months preceding the interview","Number of living children 6-59 months of age","DHS (2015)","%",2015,74.599999999999994,69,62.4,78.400000000000006,57.6,78.8,91.6,78.7,81.7]
[29,"3. Nutrition Specific Interventions","Coverage of treatment of Severe Acute Malnutrition","Children 6-59m. With SAM","Proportion of children 6-59 months with severe acute malnutrition admitted for treatment","Number of children 6-59 months with severe acute malnutrition admitted for treatment","Number of children 6-59 months with severe acute malnutrition",null,"%",2015,27,33,"NA","NA","NA",43,"NA",25,"NA"]
[30,"3. Nutrition Specific Interventions","Coverage of IYCF promotion programmes","Mothers of children 0-23m.","Proportion of mothers of children 0-23 months who have received counseling, support or messages on optimal IYCF at least once in the last year","Number of mothers of children 0-23 months who have received counseling, support or messages on optimal IYCF at least once in the last year","Number of mothers of children 0-23 months",null,"%",2015,12,14,24,5,0,0,0,12,34]
[31,"4. Underlying and Basic Determinants of malnutrition","Gross rate of Female Secondary School Enrollment","All females","Percentage of female population of official secondary education age who are enrolled in secondary education programs","number of female students enrolled in secondary education regardless of age","female population of official secondary education age","Min of Education or UNESCO, World Bank Global Database http://www.uis.unesco.org/DataCentre/Pages/BrowseEducation.aspx","%",2015,25.9,20,12.6,14.8,10.199999999999999,10.5,29.1,19.899999999999999,38.1]
[32,"4. Underlying and Basic Determinants of malnutrition","Proportion of population below poverty line","All individuals","Proportion of population below international poverty line","population living on less than $1.90 a day at 2011 international prices","total population","World Bank Poverty and Equity Database https://data.worldbank.org/indicator/SI.POV.DDAY","%",2015,72,44,55,75,83,58,76,74,74]
[33,"4. Underlying and Basic Determinants of malnutrition","Coverage of Basic Sanitation facility","All households","Percentage of the population using at least a basic sanitation facility (Use of improved facilities that are not shared with other households)","Number of households or de jure population using improved sanitation (not shared with others)","Number of households or de jure population","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation 2017. Available from https://washdata.org/data","%",2015,18.100000000000001,27.8,5.8,22.8,6.4,16.8,20.9,14.7,18]
[34,"4. Underlying and Basic Determinants of malnutrition","Coverage of Safely Managed Drinking Water","All households","Percentage of the population using at least basic drinking water service (drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip, including queuing)","population using at least basic drinking water service (drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip, including queuing)","total population","WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation 2017. Available from https://washdata.org/data","%",2015,52.5,45.3,37.9,42.8,25.8,44,84,64.099999999999994,61.3]
[35,"4. Underlying and Basic Determinants of malnutrition","Proportion of expenditures allocated for food","All households","Household share of expenditure on food","hoh food expenditure","hoh total expenditure","Hoh food expenditure surveys","%",2015,55,56,54,43,67,56,40,75,60]
[36,"4. Underlying and Basic Determinants of malnutrition","Proportion of Health Services with essential medicines available","All Health Services","Proportion of Health facilities with essential medicines available","Number of Health facilities with essential medicines available","Number of Health Facilities","Quality of Health Services Survey (SARA)","%",2015,65,46,43,67,65,60,70,55,70]
[37,"4. Underlying and Basic Determinants of malnutrition","Annual Birth Rate","Adolescent girls 15-19y.","Annual number of births to women aged 15 to 19 per 1,000 women in that age group.","Number of births that occurred in a period (typically the 1-36 months before the survey) to women 15-19y at the time of the birth","Number of women-years of exposure in the same period (1-36 months before the survey) of women aged 15 to 19y","United Nations, Department of Economic and Social Affairs, Population Division (2015). 2015 Update for the MDG Database: Adolescent Birth Rate (POP/DB/Fert/A/MDG2015)","number of births /1000 females",2015,167,212,222,158,170,191,181,167,143]
[38,"5. Nutrition Sensitive Interventions","Coverage of 4+ Ante Natal Care visits","Pregnant Women","% of pregnant women with >4 ANC visits","Numbers of women who received >4 antenatal care for their last birth","Number of women with a birth in the last 5 years","DHS (2015)","%",2015,50.6,"NA","NA","NA","NA","NA","NA","NA","NA"]
[39,"5. Nutrition Sensitive Interventions","Coverage of family planning demand satisfied with modern methods","Women of Reproductive Age 15-49y.","% of the demand for Family planning that is satisfied with modern methods","Number of currently married women aged 15-49y who are using any modern contraceptive method including female sterilization, male sterilization, pill, IUD, injectables, implants, male condom, female condom, emergency contraception, vaginal methods, lactational amenorrhea method, or other modern methods","Number of currently married women aged 15-49y with a met need for family planning + Number of currently married women aged 15-49y with an unmet need for family planning","DHS (2015)","%",2015,12.3,11.8,3.3,5.9,5.2,12.5,12.8,9,13.6]
[40,"5. Nutrition Sensitive Interventions","Coverage of Total Sanitation Programmes","All villages","% villages with total sanitation programmes","Nb of villages part of a total sanitation programme in past 5 years","Nb of villages","Min of Water (2017)","%",2017]
[41,"5. Nutrition Sensitive Interventions","Coverage of Social Safety Net Programme","All households","Coverage of Social Safety Net Programme","Nb hoh benefiting from the Social Safety Net programme","Nb of Hoh","Min of Social Affairs","%",2017,5.6,5,2,0,13,0,0,0,10]
[42,"5. Nutrition Sensitive Interventions","Coverage of DTP3 immunisation","Children 0-11m.","Percentage of 1-year-olds who have received the DTP3 by recommended age","Nb of surviving infants (12-23m) who received the third dose of DTP containing vaccine (based on vaccination card or mother's declaration)","Nb of surviving infants (12-23m)","WHO and UNICEF estimates of national routine immunization coverage, 2016 revision (completed July 2016). http://data.unicef.org/child-health/immunization","%",2016,76.2,82.8,67.8,75.099999999999994,60.3,79.900000000000006,76.599999999999994,85.3,81.8]
[43,"6. Finance for Nutrition","National Budget per child U5 for nutrition-specific interventions",null,"Budget spending per child U5 for nutrition-specific from National Budget","total spending for nutrition specific interventions in the National budget","Nb of children 0-59m","Budget Analysis, Min of planning","currency/child<5y",2016,143,123,124,90,110,120,240,200,130]
[44,"6. Finance for Nutrition","Proportion of Nutrition Budget for Treatment of SAM",null,"Budget percentage for the treatment of Severe Acute Malnutrion out of the total budget for nutrition","total spending for treatment of Severe Acute Malnutrition","total spending for nutrition interventions","Min. of planning",null,2016,67,43,45,65,67,65,76,79,78]
[45,"6. Finance for Nutrition","Proportion of Nutrition Budget for Nutrition Specific Interventions",null,"Budget percentage for nutrition-specific spending out of the total spending for nutrition","total spending for nutrition specific interventions in the National budget","total spending for nutrition in the National budget","Budget Analysis, Min of planning","%",2016,80,90,87,76,73,"NA","NA",80,90]
[46,"7. Enabling environment","Proportion of Districts with a District Nutrition Plan of Action","All Districts","Nb of district with an adopted local Nutrition Plan of Action / total nb of districts","Nb of Districts with a District Nutrition Plan of Action","Nb of districts","Min. of Health","%",2017,{"$f":"53*100/97","v":54.639175257731956},{"$f":"5*100/7","v":71.428571428571431},{"$f":"6*100/10","v":60},{"$f":"8*100/12","v":66.666666666666671},{"$f":"3*100/12","v":25},{"$f":"4*100/10","v":40},{"$f":"5*100/6","v":83.333333333333329},{"$f":"7*100/12","v":58.333333333333336},{"$f":"3*100/7","v":42.857142857142854}]
[47,"7. Enabling environment","Proportion of Districts with a Digital Nutrition Information System","All Districts","Nb of district with an operational Digital Nutrition Information System / Total nb of Districts","Nb of Districts with an operational Digital Nutrition Information System","Nb of districts","Min. of Health","%",2016,60,55,40,34,89,12,25,50,0]
[48,"7. Enabling environment","International Code of Marketing of Breast-Milk Substitutes (BMS Code) legal measures",null,"Legal Status of the International Code of Marketing of Breast-Milk Substitutes (BMS Code)","NA","NA","WHO, UNICEF, IBFAN (2016). Marketing of Breast-milk Substitutes: National Implementation of the International Code, Status Report 2016. Geneva: WHO","YES/NO",2018]
[49,"7. Enabling environment","Legislation on Iodised Salt",null,"Legislation on Iodised Salt","NA","NA","Data based on Member State responses to the 2017 NCD Country Capacity Survey. WHO (2017). Noncommunicable Diseases Progress Monitor, 2017. Geneva: WHO. Available from http://apps.who.int/iris/bitstream/10665/258940/1/9789241513029-eng.pdf?ua=1","YES/NO",2018]
[50,"7. Enabling environment","Legislation on flour fortification",null,"Legislation on flour fortification","NA","NA","Data based on Member State responses to the 2017 NCD Country Capacity Survey. WHO (2017). Noncommunicable Diseases Progress Monitor, 2017. Geneva: WHO. Available from http://apps.who.int/iris/bitstream/10665/258940/1/9789241513029-eng.pdf?ua=1","YES/NO",2018]
[51,"7. Enabling environment","Legislation on vegetable oil fortification",null,"Legislation on vegetable oil fortification","NA","NA","Data based on Member State responses to the 2017 NCD Country Capacity Survey. WHO (2017). Noncommunicable Diseases Progress Monitor, 2017. Geneva: WHO. Available from http://apps.who.int/iris/bitstream/10665/258940/1/9789241513029-eng.pdf?ua=1","YES/NO",2018]
[null,null,null,null,null,null,null,null,null,null,20,20,20,20,20,20,20,20,20]
[null,null,null,null,null,null,null,null,null,null,5,5,5,5,5,5,5,5,5]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,"Central Statistical Office, Ministry of Health. 2015. Demographic and Health Survey 2013-14. Available at http://dhsprogram.com/pubs/pdf/xxxxx."]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,0.19357086432622778,0.18589728230759278,0.10037440288876692,7.9280705589281839E-2,7.6355150831983895E-2,7.196633949572645E-2,6.8510789194991401E-2,6.5949758427751151E-2,5.7056169280090004E-2]

{"sheet":"Dashboard to print","index":2,"n_rows":140,"n_cols":83,"rows_kept":140,"cut":false,"hidden":false,"merged":[[123,58,123,67],[125,58,125,67],[127,58,127,67],[129,58,129,67],[122,2,122,3],[130,44,130,53],[117,2,117,3],[118,2,118,3],[119,2,119,3],[120,44,120,53],[122,44,122,53],[124,44,124,53],[126,44,126,53],[128,44,128,53],[118,44,118,53],[120,2,120,3],[121,2,121,3],[121,58,121,67],[99,30,99,39],[99,44,99,53],[99,58,99,67],[64,15,66,27],[93,30,93,39],[95,44,95,53],[93,58,93,67],[97,30,97,39],[97,44,97,53],[114,2,114,3],[115,2,115,3],[116,2,116,3],[91,30,91,39],[97,58,97,67],[91,44,91,53],[95,58,95,67],[91,2,91,11],[95,30,95,39],[91,58,91,67],[93,44,93,53],[113,2,113,3],[5,1,7,13],[14,15,16,27],[25,71,27,83],[43,43,45,55],[45,57,47,69],[1,1,4,13],[2,15,4,27],[2,29,4,41],[2,43,4,55],[2,57,4,69],[127,72,127,81],[128,72,128,81],[129,72,129,81],[130,72,130,81],[2,71,4,83],[118,72,118,81],[93,72,93,81],[116,72,116,81],[95,72,95,81],[91,72,91,81]]}
[]
[null,"National Information Platform for Nutrition"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Why is it important to invest in Nutrition ?",null,null,null,null,null,null,null,null,null,null,null,null,null,"1.What is the current Nutrition Situation ?",null,null,null,null,null,null,null,null,null,null,null,null,null,"2. Immediate determinants of malnutrition",null,null,null,null,null,null,null,null,null,null,null,null,null,"4. Underlying and Basic determinants of malnutrition",null,null,null,null,null,null,null,null,null,null,null,null,null,"6.Budget allocation to Nutrition"]
[]
[]
[null,"[Country X] Sub-National Nutrition Dashboard "]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"What causes malnutrition and how to improve it ?"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"7.Enabling environment"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"3. Which Nutrition-Specific interventions are implemented ?"]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"5. Which Nutrition-Sensitive interventions are implemented ?"]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Data Sources and abbreviations"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null," ",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null," "]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
[null,"Title :","Under five stunting prevalence 2005-2010-2015",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"15 & 16",null,null,null,null,null,null,null,null,null,null,null,null,null,"19 & 20",null,null,null,null,null,null,null,null,null,null,null,null,null,"31 & 37",null,null,null,null,null,null,null,null,null,null,null,null,null,45,{"$f":"'Dashboard indicators'!C46&\" (\"&'Dashboard indicators'!D46&\") [\"&'Dashboard indicators'!J46&\"]\"","v":"Proportion of Nutrition Budget for Nutrition Specific Interventions () [2016]"}]
[]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,"10 & 12",null,null,null,null,null,null,null,null,null,null,null,null,null,22,{"$f":"'Dashboard indicators'!C23&\" (\"&'Dashboard indicators'!D23&\") [\"&'Dashboard indicators'!J23&\"]\"","v":"Prevalence of Minimum Diet Diversity (Children 6-23m.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,35,{"$f":"'Dashboard indicators'!C36&\" (\"&'Dashboard indicators'!D36&\") [\"&'Dashboard indicators'!J36&\"]\"","v":"Proportion of expenditures allocated for food (All households) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,43,{"$f":"'Dashboard indicators'!C44&\" (\"&'Dashboard indicators'!D44&\") [\"&'Dashboard indicators'!J44&\"]\"","v":"National Budget per child U5 for nutrition-specific interventions () [2016]"}]
[]
[null,null,null,null,null,"Min","Max",null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,11,{"$f":"'Dashboard indicators'!C12&\" (\"&'Dashboard indicators'!D12&\") [\"&'Dashboard indicators'!J12&\"]\"","v":"Prevalence of Low Birth Weight (Infants born) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,21,{"$f":"'Dashboard indicators'!C22&\" (\"&'Dashboard indicators'!D22&\") [\"&'Dashboard indicators'!J22&\"]\"","v":"Prevalence of Minimum Acceptable Diet (Children 6-23m.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,"33 & 34",null,null,null,null,null,null,null,null,null,null,null,null,null,44,{"$f":"'Dashboard indicators'!C45&\" (\"&'Dashboard indicators'!D45&\") [\"&'Dashboard indicators'!J45&\"]\"","v":"Proportion of Nutrition Budget for Treatment of SAM () [2016]"}]
[null,null,null,{"$f":"IF(F97<>\"\",F97,\"\")&IF(AND(F97<>\"\",G97<>\"\"),\" to \",\"\")&IF(G97<>\"\",G97,\"\")&IF(AND(F97<>\"\",G97=\"\"),\" and +\",\"\")&IF(AND(F97=\"\",G97<>\"\"),\" and -\",\"\")","v":"10 and -"},null,null,10]
[null,null,null,{"$f":"IF(AND(F98=\"\",G98<>\"\"),\"Less than \",\"\")&IF(F98<>\"\",F98,\"\")&IF(AND(F98<>\"\",G98<>\"\"),\" to \",\"\")&IF(G98<>\"\",G98,\"\")&IF(AND(F98<>\"\",G98=\"\"),\" and + \",\"\")","v":"11 to 20"},null,{"$f":"IF(G97<>\"\",G97+1,\"\")","v":11},20,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,14,{"$f":"'Dashboard indicators'!C15&\" (\"&'Dashboard indicators'!D15&\") [\"&'Dashboard indicators'!J15&\"]\"","v":"Prevalence of Overweight (Children 0-59m.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,18,{"$f":"'Dashboard indicators'!C19&\" (\"&'Dashboard indicators'!D19&\") [\"&'Dashboard indicators'!J19&\"]\"","v":"Prevalence of Diarrhoea (Children 0-59m.) [2017]"},null,null,null,null,null,null,null,null,null,null,null,null,32,{"$f":"'Dashboard indicators'!C33&\" (\"&'Dashboard indicators'!D33&\") [\"&'Dashboard indicators'!J33&\"]\"","v":"Proportion of population below poverty line (All individuals) [2015]"}]
[null,null,null,"21 to 30",null,{"$f":"IF(G98<>\"\",G98+1,\"\")","v":21},30]
[null,null,null,"31 to 40",null,31,40,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,13,{"$f":"'Dashboard indicators'!C14&\" (\"&'Dashboard indicators'!D14&\") [\"&'Dashboard indicators'!J14&\"]\"","v":"Prevalence of Overweight and Obesity (Women of Reproductive Age 15-49y.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,17,{"$f":"'Dashboard indicators'!C18&\" (\"&'Dashboard indicators'!D18&\") [\"&'Dashboard indicators'!J18&\"]\"","v":"Prevalence of Malaria (Children 6-59m.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,36,{"$f":"'Dashboard indicators'!C37&\" (\"&'Dashboard indicators'!D37&\") [\"&'Dashboard indicators'!J37&\"]\"","v":"Proportion of Health Services with essential medicines available (All Health Services) [2015]"}]
[null,null,null,"41 and + ",null,41]
[null,null,null,"",null,""]
[null,null,null,"",null,""]
[null,null,null,"",null,""]
[null,null,null,"",null,""]
[null,null,null,"",null,""]
[]
[]
[]
[]
[]
[]
[null,{"$f":"'Dashboard indicators'!$C$8","v":"Number of Stunted Children"},null,null,2005,2010,2015]
[null,null,{"$f":"'Dashboard indicators'!$K$1","v":"Moyenne nationale"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C114,'Dashboard indicators'!$J$1:$T$1,0),0)","v":1816973.0036378677},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C114,'Dashboard indicators'!$J$1:$T$1,0),0)","v":1964597.0054150557},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C114,'Dashboard indicators'!$J$1:$T$1,0),0)","v":2086075.5281167096}]
[null,1,{"$f":"'Dashboard indicators'!$L$1","v":"Western"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C115,'Dashboard indicators'!$J$1:$T$1,0),0)","v":362895.04218695231},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C115,'Dashboard indicators'!$J$1:$T$1,0),0)","v":402314.00656920963},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C115,'Dashboard indicators'!$J$1:$T$1,0),0)","v":438823.60086064378}]
[null,2,{"$f":"'Dashboard indicators'!$M$1","v":"Nyanza"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C116,'Dashboard indicators'!$J$1:$T$1,0),0)","v":412520.94122313301},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C116,'Dashboard indicators'!$J$1:$T$1,0),0)","v":446861.00259468536},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C116,'Dashboard indicators'!$J$1:$T$1,0),0)","v":475456.83794293308}]
[null,3,{"$f":"'Dashboard indicators'!$N$1","v":"Rift Valley"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C117,'Dashboard indicators'!$J$1:$T$1,0),0)","v":230419.47927145337},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C117,'Dashboard indicators'!$J$1:$T$1,0),0)","v":251079.89392845836},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C117,'Dashboard indicators'!$J$1:$T$1,0),0)","v":268876.12499903236},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,46,{"$f":"'Dashboard indicators'!C47&\" (\"&'Dashboard indicators'!D47&\") [\"&'Dashboard indicators'!J47&\"]\"","v":"Proportion of Districts with a District Nutrition Plan of Action (All Districts) [2017]"}]
[null,4,{"$f":"'Dashboard indicators'!$O$1","v":"Eastern"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C118,'Dashboard indicators'!$J$1:$T$1,0),0)","v":166830.38877152579},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C118,'Dashboard indicators'!$J$1:$T$1,0),0)","v":172343.48975749884},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C118,'Dashboard indicators'!$J$1:$T$1,0),0)","v":173584.15351926553}]
[null,5,{"$f":"'Dashboard indicators'!$P$1","v":"Center"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C119,'Dashboard indicators'!$J$1:$T$1,0),0)","v":143146.05547075349},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C119,'Dashboard indicators'!$J$1:$T$1,0),0)","v":154388.12974834983},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C119,'Dashboard indicators'!$J$1:$T$1,0),0)","v":163480.04297851748},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,28,{"$f":"'Dashboard indicators'!C29&\" (\"&'Dashboard indicators'!D29&\") [\"&'Dashboard indicators'!J29&\"]\"","v":"Coverage of Vitamin A supplementation (Children 6-59m.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,47,{"$f":"'Dashboard indicators'!C48&\" (\"&'Dashboard indicators'!D48&\") [\"&'Dashboard indicators'!J48&\"]\"","v":"Proportion of Districts with a Digital Nutrition Information System (All Districts) [2016]"}]
[null,6,{"$f":"'Dashboard indicators'!$Q$1","v":"North Eastern"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C120,'Dashboard indicators'!$J$1:$T$1,0),0)","v":121151.01456068574},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C120,'Dashboard indicators'!$J$1:$T$1,0),0)","v":134116.50626740555},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C120,'Dashboard indicators'!$J$1:$T$1,0),0)","v":146065.47342874823}]
[null,7,{"$f":"'Dashboard indicators'!$R$1","v":"Coast"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C121,'Dashboard indicators'!$J$1:$T$1,0),0)","v":104848.91178401484},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C121,'Dashboard indicators'!$J$1:$T$1,0),0)","v":112516.05696901013},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C121,'Dashboard indicators'!$J$1:$T$1,0),0)","v":118476.2558412122},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,26,{"$f":"'Dashboard indicators'!C27&\" (\"&'Dashboard indicators'!D27&\") [\"&'Dashboard indicators'!J27&\"]\"","v":"Coverage of Iron Supplementation (Pregnant Women) [2015]"}]
[null,8,{"$f":"'Dashboard indicators'!$S$1","v":"Nairobi"},null,{"$f":"VLOOKUP(E$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C122,'Dashboard indicators'!$J$1:$T$1,0),0)","v":95883.034782938848},{"$f":"VLOOKUP(F$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C122,'Dashboard indicators'!$J$1:$T$1,0),0)","v":105877.72067266455},{"$f":"VLOOKUP(G$113,'Dashboard indicators'!$J$8:$T$10,MATCH($C122,'Dashboard indicators'!$J$1:$T$1,0),0)","v":115005.82673664957},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,39,{"$f":"'Dashboard indicators'!C40&\" (\"&'Dashboard indicators'!D40&\") [\"&'Dashboard indicators'!J40&\"]\"","v":"Coverage of family planning demand satisfied with modern methods (Women of Reproductive Age 15-49y.) [2015]"}]
[null,null,"Total",null,{"$f":"SUM(E115:E122)","v":1637694.8680514575},{"$f":"SUM(F115:F122)","v":1779496.8065072822},{"$f":"SUM(G115:G122)","v":1899768.3163070022},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,24,{"$f":"'Dashboard indicators'!C25&\" (\"&'Dashboard indicators'!D25&\") [\"&'Dashboard indicators'!J25&\"]\"","v":"Coverage of Oral Rehydratation Salt treatment (Children 0-59m. With Diarrhoea) [2015]"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,41,{"$f":"'Dashboard indicators'!C42&\" (\"&'Dashboard indicators'!D42&\") [\"&'Dashboard indicators'!J42&\"]\"","v":"Coverage of Social Safety Net Programme (All households) [2017]"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,30,{"$f":"'Dashboard indicators'!C31&\" (\"&'Dashboard indicators'!D31&\") [\"&'Dashboard indicators'!J31&\"]\"","v":"Coverage of IYCF promotion programmes (Mothers of children 0-23m.) [2015]"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,38,{"$f":"'Dashboard indicators'!C38&\" (\"&'Dashboard indicators'!D38&\") [\"&'Dashboard indicators'!J38&\"]\"","v":"Annual Birth Rate (Adolescent girls 15-19y.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,"Legislative provisions :"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,25,{"$f":"'Dashboard indicators'!C26&\" (\"&'Dashboard indicators'!D26&\") [\"&'Dashboard indicators'!J26&\"]\"","v":"Coverage of presence of Iodised Salt (All households) [2015]"}]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,40,{"$f":"'Dashboard indicators'!C41&\" (\"&'Dashboard indicators'!D41&\") [\"&'Dashboard indicators'!J41&\"]\"","v":"Coverage of Total Sanitation Programmes (All villages) [2017]"},null,null,null,null,null,null,null,null,null,null,null,null,48,"Adoption of International Code of Marketing of Breast Milk Substitutes :",null,null,null,null,null,null,null,null,null,"YES"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,29,{"$f":"'Dashboard indicators'!C30&\" (\"&'Dashboard indicators'!D30&\") [\"&'Dashboard indicators'!J30&\"]\"","v":"Coverage of treatment of Severe Acute Malnutrition (Children 6-59m. With SAM) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,49,"Salt iodization :",null,null,null,null,null,null,null,null,null,"YES"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,42,{"$f":"'Dashboard indicators'!C43&\" (\"&'Dashboard indicators'!D43&\") [\"&'Dashboard indicators'!J43&\"]\"","v":"Coverage of DTP3 immunisation (Children 0-11m.) [2016]"},null,null,null,null,null,null,null,null,null,null,null,null,50,"Flour fortification :",null,null,null,null,null,null,null,null,null,"YES"]
[null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,23,{"$f":"'Dashboard indicators'!C24&\" (\"&'Dashboard indicators'!D24&\") [\"&'Dashboard indicators'!J24&\"]\"","v":"Coverage of Deworming (Children 6-59m.) [2015]"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,51,"Vegetable Oil Fortification : ",null,null,null,null,null,null,null,null,null,"YES"]
[null,null,"AVG",null,"National Average"]
[null,null,"R1",null,{"$f":"'Dashboard indicators'!$L$1","v":"Western"},null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,null,27,{"$f":"'Dashboard indicators'!C28&\" (\"&'Dashboard indicators'!D28&\") [\"&'Dashboard indicators'!J28&\"]\"","v":"Coverage of use of Insecticide Treated Mosquito Nets (Children 0-59m.) [2015]"}]
[null,null,"R2",null,{"$f":"'Dashboard indicators'!$M$1","v":"Nyanza"}]
[null,null,"R3",null,{"$f":"'Dashboard indicators'!$N$1","v":"Rift Valley"}]
[null,null,"R4",null,{"$f":"'Dashboard indicators'!$O$1","v":"Eastern"}]
[null,null,"R5",null,{"$f":"'Dashboard indicators'!$P$1","v":"Center"}]
[null,null,"R6",null,{"$f":"'Dashboard indicators'!$Q$1","v":"North Eastern"}]
[null,null,"R7",null,{"$f":"'Dashboard indicators'!$R$1","v":"Coast"}]
[null,null,"R8",null,{"$f":"'Dashboard indicators'!$S$1","v":"Nairobi"}]