Demographic databases Author – Soroko Eugeny Demoscope Weekly – NRU HSE > Institute of Demography Do you need to.

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Demographic databases Author – Soroko Eugeny Demoscope Weekly – NRU HSE > Institute of Demography Do you need to make notes? Only address English version as of 11-Dec-2015

Demographic databases The data. What is that? Quantitative data Qualitative data Here: statistical data on population, census results, summary data of vital statistics, results of socio- demographic surveys, population estimates by countries and regions of the world

Demographic databases The database. What is that? Software + hardware for: data processing, search, selection, storage, conversion, transfer and transmission. Currently most of the databases are located on the web. Components: server, computer, data transmission facilities, operating system, browser, file

Demographic databases Main types of databases Hierarchical databases Relational databases GIS – geoinformational systems

Demographic databases How the demographic indicators may be classified? Micro – Macro Macroindicators characterize mass social processes, structures, and phenomena Microindicators are the data on person, family, or household, and personal answers to the survey questionnaire

Demographic databases How the demographic indicators may be classified? Absolute – relative indicators Absolute: population size, number of migrants, number of marriages, number of families, number of unemployed, … Relative: mortality rate, percentage of population in working ages, rate of migration mobility, crude marriage rate, …

Demographic databases How the demographic indicators may be classified? Integral indicators: total fertility rate, net reproduction rate, total abortion rate, … Age indicators: age-specific fertility rate, age-specific mortality rate by cause of death, marriage rate by sex and age, …

Demographic databases How the demographic indicators may be classified? Indicators for describing the size, scale, intensity, speed, structure, or direction of the population processes, … Indicators for measurement of population composition, migration, fertility, mortality, nuptiality, family structure, … Socio-economic indicators: employment, type of pension, source of income,…

Demographic databases What is the size of table for a given indicator? Table – N-dimensional one by number of categories: Territory: country, region, city,… Period: year, month, 5-10-year period, as of 1 Janyary, census date, midyear,… Sex: males, females, both sexes Age group: 0,1,2,… 0-4,5-9,10-14,… Ethnicity: Russian, Tatar, Bashkir,… Marital status: married, divorced, never married,… Cause of death

Demographic databases Who is the developer of databases? National statistical services Rosstat – Federal service of state statistics Statistics Sweden Agency of the Repulic of Kazakhstan on statistics The State Statistical Committee of the Republic of Azerbaijan Agency on Statistics under President of the Republic of Tajikistan Türkmenistanyň Statistika baradaky döwlet komiteti The state committee of the Republic of Uzbekistan on statistics State Statistics Service of Ukraine Statistics Lithuania Statistics New Zealand Statistics Norway Central Statistical Bureau of Latvia …

Demographic databases Who is the developer of databases? International Institutions United Nations: United Nations Statistical Division – Statistical Databases, The Population Division of the Department of Economic and Social Affairs of the United Nations: World Population Prospects: The 2015 Revision, … WHO: World Health Organization. Regional Office for Europe. Health for All Database Eurostat: European Commission > Eurostat> Data> Database> Population …

Demographic databases Who is the developer of databases? International Research Projects Human Mortality Database Human Fertility Database IPUMS - Integrated Public Use Microdata Series, International 74 countries censuses million person records Results of socio-demographic surveys GGS Gender and Generation Survey (РиДМиЖ) … Demographic resources on the web at Demoscope Weekly:

Demographic databases What do we need to know at our work with the databases? Who is the author? Where can we find it? What is the set of indicators there? For what period? How often the data are updated? How the calculations are made? For what categories the data are given? What is the data format? Is registration required for the user? Is access fee-paying or free? Where can we find an answer? Research project “Database of demographic indicators by the regions of Russia and countries of the world " № funded by “NRU HSE Science Foundation» We require at least 20 criteria for characterizing the source of demographic information

Demographic databases What do we need to know about the indicator? It is a measure of what? What is the unit of measurement? How the indicator was calculated? How to obtain the indicator required? Is there any source containing the most precise and correct values? What is the aim of our query to a database? Illustration (table of graph) for a separate country Analysis of trends in a given region Initial data for further demographic calculations Inter-country comparisons

Demographic databases How a query to the database is being formed? Example of HFADB - WHO Health for All DB

Demographic databases What is the result of query? Example of WHO HFADB

Demographic databases What are the formats of data? HTML-page

Demographic databases What are the formats of data? Example: HMD: text file

Demographic databases What are the formats of data? UN WPP: Excel file

Demographic databases What are the formats of data? PRB: PDF file.

Demographic databases What pitfalls are waiting for you? Different decimal delimiters in different MS Office (Windows) after import into Excel

Demographic databases What pitfalls are waiting for you? Ambiguity of value of a given indicator for a required combination (country*period*age, etc) Values in different sources differ Values in different tables in ONE source differ Values in ONE source in different time differ Table 1. Net migration for population of Russia in 1997 according to different sources, persons. Source Net migration Information on socio-economic status of Russia, Demographic yearbook of Russia 2002, T Demographic yearbook of Russia 2009, T Demographic yearbook of Russia 2009, T

Demographic databases What pitfalls are waiting for you? Insufficient precision

Demographic databases What pitfalls are waiting for you? Gaps in the lists (of periods, countries, ages, etc.)

Demographic databases What pitfalls are waiting for you? Ambiguous categories

Demographic databases What pitfalls are waiting for you? Unconventional names of indicator Суммарный коэффициент рождаемости Total fertility rate Total period fertility Total fertility rate (male) See Statistics Sweden Synonyms Crude fertility rate Births per 1000 population Crude birth rate General fertility rate

Demographic databases What pitfalls are waiting for you? Out-of-date or erroneous data

Demographic databases What pitfalls are waiting for you? Political commitment Kosovo US Census Bureau. What to do? Use anonymizer.

Demographic databases Laws of demographic databases - 40О What is that? There exist buttered toast phenomenon, Parkinson's Law, Murphy's Law (Anything that can possibly go wrong, does.),… Law 1. After the value of the indicator was found in the most reliable source, it is always possible to find a different value in another source, that may cast discredit on the first one. Law 2. The database contains the indicator we need, but does not include the values just for the country and period we require today.

Demographic databases Laws of demographic databases Law 3. At expecting the most accurate population estimates after conducting the census they discover 1 million of persons lost. Law 4. At looking for 5-year age groups necessary for demographic calculations they find only 1-year age groups in the database, and vise versa. Law 5. In the most important period for a specific population research in a given country no census was conducted.

Demographic databases Laws of demographic databases Law 6. The vital statistics system suspends enumeration of its most significant attributes just in the period of the most serious transformations of population processes. Law 7. Transition from ICD-9 to ICD-10 took place just in the period of significant changes of mortality for a given cause of death. Law 8. Urgently needed database is inaccessible, changed the address, or «Under construction» just in the moment required. Law 9. At processing the thesis the major blunder of copying from the database was done at formulation of the key conclusions.