in a userfriendly manner Workshop title Location and Date Session outline Indicators variables and populations Proportions and percentages Ratios Rates Practical activity Skills for understanding statistics ID: 1017808
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1. Key statistical conceptsin a user-friendly mannerWorkshop titleLocation and Date
2. Session outlineIndicators, variables and populationsProportions and percentagesRatiosRatesPractical activity
3. Skills for understanding statisticsData awareness Ability to understand statistical concepts Ability to analyse, interpret and evaluate statistical information and Ability to communicate statistical information
4. countingis complicated
5. 2, 2.5, 3, 3.5, 4Source: Blastland, M. and Dilnot, A. 2007. The Tiger That Isn’t: Seeing Through a World of Numbers. Profile Books.
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7. Statistical termsDefinitionExamplesConceptA statistical concept is a characteristic of a time series or an observation. For example, ‘unemployment’, ‘birth’, and ‘tertiary enrolment’ are all concepts. To be measured accurately and consistently, concepts must have clear definitions.UnemploymentLive birthsChildrenMarriageVariableA variable is a characteristic of a unit being observed that may assume more than one of a set of values to which a numerical measure or a category from a classification can be assignedIncomeAgeWeightOccupationIndustryCause of deathPopulationThe set of elements about which information is wanted and estimates are requiredtotal number of people in a country or townYouth (aged 15-24)married/partnered women aged 15-49IndicatorAn indicator is a measure that signals the state or level of something. It represents statistical data for a specified time, place, and other characteristics.Indicators combine concepts, variables and populations to create a particular measure.Total Fertility Rate (average number of children per woman)Percentage of government budget spent on education Hourly gender pay gapShare of women in national parliament
8. Gender indicators - identifyProportion of women/men aged 15‐49 years, subjected to psychological violence in the past 12 months by the intimate partnerAverage hours spent in own‐use production work, by sexEmployment rate of 25‐64 year‐olds, by sector of the economy and sexShare of females among graduates in science, engineering, manufacturing and constructionConcept(s)Variable(s)Population(s)
9. Percentages, rates, ratios, etc.Some examples
10. Proportion or percentageNumber of observations in a given category, relative to the total number…Most often, proportions are expressed in percentages
11. Part-time or full-time status of persons in employment, Republic of Moldova, 2013Source: Moldova Labour Force Survey 2014Age groupTotal15-2425-3435-4445-5455-6465+MalePart-time41,2005,2007,8008,70010,2007,4001,800Full-time550,90056,800156,300115,500127,50084,80010,000Total592,10062,000164,100124,100137,70092,30011,800Proportion working part-time0.070.080.050.070.070.080.15Percentage working part-time7.08.44.87.07.48.015.3FemalePart-time42,9003,30010,4009,00012,0006,1002,200Full-time537,80039,000124,200144,700149,10070,40010,400Total580,70042,300134,600153,600161,10076,50012,600Proportion working part-time0.070.080.080.060.070.080.17Percentage working part-time7.47.87.75.97.48.017.5
12. Source: Moldova Labour Force Survey 2014
13. RatiosRelationship of one number to another by divisionExpresses the relative size of two numbersHow many times one number contains the otherCommon examplessex ratio: the number of males per 100 femalesstudent to teacher ratio: number of students for every teacher
14. What is the sex ratio? FemaleMaleSex ratioEuropean Union-28259,339,081 247,291,379 95Armenia1,573,567 1,450,560 92Azerbaijan4,679,645 4,616,138 99Georgia2,349,394 2,141,304 91Kazakhstan8,691,313 8,100,112 93Kyrgyzstan2,837,242 2,770,269 98Moldova, Republic of1,847,483 1,712,035 93Russian Federation76,936,816 66,264,905 86Tajikistan3,909,796 3,987,516 102Ukraine24,443,259 20,969,728 86Guide:100 = same number males as femalesLess than 100 = more femalesMore than 100 = more males
15. RatesRates are used to study the dynamics of changeDemographic rates such as fertility rates and mortality rates
16. Rates: Infant mortality rateProbability of a child dying before age 1 (per 1,000 live births)Source: UNECE Statistical Database, compiled from national and international (WHO European health for all database, Eurostat and UNICEF TransMONEE) official sources.Footnotes: Break in methodology (2000): Change in calculation methodology.
17. Rates: Total fertility rateAverage number of children per womanData source: Gapminder.org (http://www.gapminder.org/downloads/documentation/gd008)
18. How to count gender issues?Standard gender indicatorsPovertyEducationHealthViolenceEconomyPower and decision-makingHuman rightsMediaEnvironmentChildren and adolescentsDemography
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20. How to judge data qualitySource: OECD (www.oecd.org/dataoecd/26/38/21687665.pdf)
21. Activity: practice calculating rates
22. Activity: practice calculating ratesEmployment rates: % of female population who are employed% of male population who are employed
23. Activity: practice calculating ratesWhich has the highest employment rate for men?Which country has the highest employment rate for women?Where are the employment rates the lowest?Where is the gender gap between men and women the greatest?