EXPOFACTS
Exposure Factors Sourcebook for Europe
Database Structure
19.10.2017
This document is a part of ExpoFacts, the exposure factors sourcebook for Europe.
The content of this document is generated automatically by using the database and is therefore always up-to-date.

Table of contents

Consumer Products
conpro_age = Frequency of use of cosmetics by age
conpro_con = Consumption of cosmetics
conpro_fre = Frequency of use of cosmetics
conpro_pre = Prevalence of cosmetics products use
Countries
cntry = Countries
economy = Economic information
Housing
air_euro = Indoor air quality in office buildings
air_fin1 = Ventilation in offices, Finland
air_fin2 = Air exchange rate and temperature distribution, Finland
air_ned = Ventilation rates measured in homes, the Netherlands
air_ned2 = Ventilation rates, homes, CONSEXPO default values, Netherlands
air_no2 = Ventilation distribution, Norway
air_nor = Ventilation, Norway
air_rate = Air exchange rate by dwelling type, Finland
air_swe1 = Indoor climate and ventilation in schools, Sweden
air_swe2 = Indoor air quality in hospitals, Sweden
air_swe3 = Ventilation and air flow rates in office buildings, Sweden
air_swe4 = The Indoor Climate in Swedish Housing Stock
dwel_age = Dwellings by age
dwel_equ = Dwellings by equipment
dwel_tot = Total dwellings
floor = Floor space of dwellings by number of rooms
gas_cook = Use of gas cooker and proportion having fan
househo2 = Househ. by numb. of pers. and m2 of useful floor space
househol = Househ. by number of persons and number of rooms
hou_defe = Housing defects (self reported)
hou_typ = Housing tenure
leis_hom = Leisure time homes
persons = Size of households by tenure
restype1 = Residences by households
restype3 = Residential ownership by household
restype4 = Year of moving into residence
Ingestion - Dietary
bf_den = Infant diet at 10 months, Denmark
bmilk = Breastfeeding
bmilk_ned = Prevalence of breast, artificial and mixed feeding
bm_den = Infant breastmilk intake, Denmark
facet_fib = Food consumption, Finland (48h recall) (FACET)
facet_fic = Food consumption, Finland (3 days diary n.1) (FACET)
facet_fid = Food consumption, Finland (3 days diary n.2) (FACET)
facet_fra = Food consumption, France (FACET)
facet_hun = Food consumption, Hungary (FACET)
facet_ir1 = Food consumption, Ireland (children) (FACET)
facet_ir2 = Food consumption, Ireland (adults) (FACET)
facet_ir3 = Food consumption, Ireland (teens) (FACET)
facet_ita = Food consumption, Italy (FACET)
facet_pol = Food consumption, Poland (FACET)
facet_por = Food consumption, Portugal (FACET)
facet_uk1 = Food consumption, United Kingdom (1-4 years population) (FACET)
facet_uk2 = Food consumption, United Kingdom (4-18 years population) (FACET)
facet_uk3 = Food consumption, United Kingdom (19-64 years population) (FACET)
facet_uk4 = Food consumption, United Kingdom (over 65 years pop.) (FACET)
foch_ne1 = Food consumption children (Averages), Netherlands
foch_ne2 = Food consumption children (Percentages), Netherlands
foodw_cz = Consumption of wild foodstuffs, Czech Republic
foodw_fi = Consumption of wild foodstuffs, Finland
food_ba = Food consumption, Baltic
food_ba1 = FAO food balance sheets (Countries: A - It)
food_ba2 = FAO food balance sheets (Countries: L - U)
food_bel = Food consumption, Belgium
food_bul1 = Food consumption amounts, Bulgaria
food_bul2 = Consumption frequency of different foodstuffs, Bulgaria
food_da1 = Food availability, DAFNE-Study (Countries: B - F)
food_da2 = Food availability, DAFNE-Study (Countries: G - It)
food_da3 = Food availability, DAFNE-Study (Countries: L - P)
food_da4 = Food availability, DAFNE-Study (Countries: S - U)
food_den = Food consumption, Denmark
food_fin = Food consumption, Finland
food_fra = Food consumption, France
food_gbr = Food consumption, United Kingdom
food_ger = Food consumption, Germany
food_hrv = Consumption frequency of different foodstuffs, Croatia
food_hun = Food consumption, Hungary
food_ice = Food consumption, Iceland
food_ire = Food consumption, Ireland
food_ita = Food consumption, Italy
food_ned = Food consumption , Netherlands
food_sca = Food consumption, NorBaGreen study
food_swe = Food consumption, Sweden
infd_eu = Infant diet, Euro-Growth Study
infd_ge2 = Infant diet, commercial food, Germany
infd_ger = Infant diet, Germany
infd_icl = Infant diet, Iceland
meat_fis = Consumption of cooked meat and fish
medi_bul = Non-prescribed medicine use, Bulgaria
mout_gbr = Mouthing behaviour of children up to 5 years, United Kingdom
mout_ned = Mouthing behaviour of children from 3 to 36 months, Netherlands
soya = Soy consumption
vegd_bal = Level of dependence on home grown or raised foods
vegu_bal = Use of home grown vegetables, Baltic countries
veg_frui = Childrens food frequency
vit_supl = Dietary supplement and non-prescribed medicine use
wate_bal = Type of water used for drinking, Baltic
wate_fra = Tapwater consumption, France
wate_fraal = Tapwater consumption in Alsace, France
wate_franc = Non-consumers of unheated tapwater by covariables in France
wate_ger = Infant tap water consumption, Germany
Ingestion - non dietary
mout_gbr = Mouthing behaviour of children up to 5 years, United Kingdom
mout_ned = Mouthing behaviour of children from 3 to 36 months, Netherlands
Physiology
blength = Bodylength, adults (>2 years)
blen_chi = Bodylength, children (=<2 years)
bmi = Overweight and obesity, adults
bmi_chi = Overweight and obesity, children
bw = Bodyweight, adults (>2 years)
bwei_chi = Bodyweight, children (=<2 years)
bw_dist = Body weight, distribution
energ_bel = Average energy expenditure, Belgium
energ_uk = Total energy expenditure and physical activity in children, UK
rr_ita = Respiratory rate in the first 3 years of life, Italy
skin_swe = Total skin surface area, adults (>2 years)
Population
age_grp = Population by 5-year age groups
age_year = Population by 1-year age groups
bd_rates = Birth & Death-rates
births = Live births first - fifth and over
bir_age = Live births, average age of childbearing
cities = Population of capital cities and cities with pop. 100000 or over
eco_popu = Economically active population by education level
empd_eco = Employment by economic activity
empd_emp = Employment by status in employment
empd_occ = Employment by occupation
eth_rel = Ethnicity & religion
income = Income
lifeex = Life expectancies
live_bir = Live Births
marital = Marital status
non_nat = Non-nationals living in country
non_nat2 = Non-national population by main groups of citizenship
non_nat3 = Non-nationals living in country by age group
non_nat4 = Non-national EU-25 pop. by country of residence and citizenship
restype2 = Households
unemp_ag = Unemployment by age group
unemp_ec = Unemployment by economic activity
unemp_ed = Unemployment by education level
unemp_oc = Unemployment by occupation
urban_rur = Urban/Rural - distribution
Time activity
chil_lab = Child Labour distribution, Bulgaria
educatio = School attendance at different levels
edu_une = Primary education hours
hetus1 = Time Use, ten countries, gainful work by weekday
hetus2 = Time Use, ten countries: study, domestic work, free time
hetus3 = Time Use, ten countries: location
hetus4 = Time Use, ten countries: mode of travel
physact = Physical activity, EU-15
phys_bal = Physical activity, Baltic Countries
phys_cze = Physical activity, Czech Republic
phys_fin = Physical activity, Finland
phys_ger = Physical activity, Germany
phys_hrv = Physical activity, Croatia
phys_icl = Physical activity, Iceland
phys_mal = Physical activity, Malta
phys_uk = Physical activity, United Kingdom
tich_ne1 = Time use Netherlands, infants, general
tich_ne2 = Time use Netherlands, infants, activities
tich_ne3 = Time use Netherlands, infants, contacts with surfaces
time_bel1 = Time use, Belgium 12-49 years
time_bel2 = Time use, Belgium years 50-
time_bel3 = Time use, Belgium, transport modes and locations
time_est1 = Time use, Estonia
time_est2 = Time use, (24h cycle), Estonia
time_exp = Time use, The Expolis Study
time_fi2 = Time use (24h cycle), Finland
time_fi3 = Time use, Finland, location and transport correlations
time_fi4 = Time use, Finland, activity correlations
time_fi6 = Time use, Finland, activity, location and transport correlations
time_fin = Time use, Finland
time_fra = Time use, France
time_hun = Time use, Hungary
time_ned = Time use, Netherlands
time_no2 = Time use, Norway, 24h cycle
time_nor = Time use, Norway
time_out = Time spent outdoors, Children
time_por1 = Time use, Portugal
time_por2 = Time use, Portugal, 24h cycle, (adults 15- years)
time_sln = Time use, Slovenia
time_swe = Time use, Sweden
time_tra = Time use in traffic
tim_child = Physical activity, youth
tim_fi5f = Time use, Finland, Detailed activity correlations,female
tim_fi5m = Time use, Finland, Detailed activity correlations,male
tind1_fra = Time spent indoor by gender, age, occupation and season in France
tind2_fra = Time spent indoor by week day in France
tind3_fra = Time spent indoor by geographical area and season in France
tind4_fra = Time spent indoor by room and gender in France
titra_fi = Mode of transport, Finland, students
titr_lux = Time use in traffic, Luxemburg
we_work = Employees working at weekends
workh = Working hours

Consumer Products

conpro_age = Frequency of use of cosmetics by age
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male, female, both)
agegrouplongtextAge group of population (years)
prodlongtextProduct
4_daydouble4 times or more per day (%)
2_3_daydouble2-3 times per day (%)
1_daydoubleOnce per day (%)
5_6_weekdouble5-6 times per week (%)
3_4_weekdouble3-4 times per week (%)
1_2_weekdouble1-2 times per week (%)
1_3_monthdouble1-3 times per month (%)
rarelydoubleRarely/Never (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
conpro_con = Consumption of cosmetics
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male, female, both)
prodlongtextProduct
mean_sdoubleMean (grams per event)
sddoubleStandard deviation
min_valdoubleMinimum value (grams per event)
25thdouble25th percentile (grams per event)
50thdouble50th percentile (grams per event)
75thdouble75th percentile (grams per event)
95thdouble95th percentile (grams per event)
99thdouble
max_valdoubleMaximum value (grams per event)
perc_usrdoubleSample size (N)
nint(11)Percent of users
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
conpro_fre = Frequency of use of cosmetics
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male, female, both)
prodlongtextProduct
mean_sdoubleMean (times per day)
sddoubleStandard deviation
min_valdoubleMinimum value (times per day)
25thdouble25th percentile (times per day)
50thdouble50th percentile (times per day)
75thdouble75th percentile (times per day)
95thdouble95th percentile (times per day)
99thdouble
max_valdoubleMaximum value (times per day)
perc_usrdoubleSample size (N)
nint(11)Percent of users
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
conpro_pre = Prevalence of cosmetics products use
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male, female, both)
agegrouplongtextAge group of population (years)
prodlongtextProduct
nint(11)Sample size (N)
nusersint(11)Users (n)
percusersdoubleUsers (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)

Countries

cntry = Countries
NameTypeDescription
idchar(3)National insignia of country (used in db)
popuint(11)Total population of country
surfaceint(11)Total surface-area of country (km2)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
economy = Economic information
NameTypeDescription
idvarchar(4)Country of data
gdpdoubleGDP per capita (2001)
gdp_growdoubleCompound annual % growth (1991-2000)
gdp_chadoublePercentage change over previous year (%) (2002)
gdp_agridoubleAgriculture's share of GDP (%) (2001, CYP 1995)
gdp_indudoubleIndustry's share of GDP (%) (2001, CYP 1995)
gdp_servdoubleServices's share of GDP (%) (2001, CYP 1995)
pr_indexdoubleConsumer price index,annual (%) change (2002)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)

Housing

air_euro = Indoor air quality in office buildings
NameTypeDescription
idchar(3)Country of data
buildlongtextCode used in the survey for each different building
locationlongtextMeasurement location
floordoubleFloor area (m2)
tairdoubleAir temperature (C)
topdoubleOperative temperature (C)
vairdoubleAir velocity (m/s)
rhint(11)RH (%)
noiseint(11)Noise [dB(A)]
sup_lsmdoubleSupply airflow rate l/s.m2
inf_lsmdoubleInfiltration airflow rate l/s. m2
adj_lsmdoubleAdjacent airflow rate L/s. m2
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_fin1 = Ventilation in offices, Finland
NameTypeDescription
idchar(3)Country of data
b_typelongtextBuilding type
vent_syslongtextVentilation system
airflowlongtextType of airflow (Exhaust/Outdoor)
b_nint(11)Number of buildings
low_lspint(11)Lower quartile L/s per person
med_lspint(11)Median L/s per person
upper_lspint(11)Upper quartile L/s per person
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_fin2 = Air exchange rate and temperature distribution, Finland
NameTypeDescription
idchar(3)Country of data
b_typelongtextBuilding type
type_dislongtextMeasured parameter (Air exhange l/h, Temp C)
groulongtextValue for the particular parameter
freqsmallint(6)Frequency of buildings in group
nint(11)Total number of dwellings
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_ned = Ventilation rates measured in homes, the Netherlands
NameTypeDescription
idchar(3)Country of data
spacelongtextConstantly occupied domestic living spaces
sitlongtextSituation
seasonlongtextSeason
mea_metlongtextMeasuring Method
numint(11)Number of Measurements
ven_ratedoubleVentilation rate (1/h)
mindoubleMin (1/h)
maxdoubleMax (1/h)
sddoubleSD (1/h)
25thdouble25th (1/h)
mediandoubleMedian (1/h)
75thdouble75th (1/h)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_ned2 = Ventilation rates, homes, CONSEXPO default values, Netherlands
NameTypeDescription
idchar(3)Country of data
spacelongtextConstantly occupied domestic living spaces
ven_ratedoubleVentilation rate (1/h)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_no2 = Ventilation distribution, Norway
NameTypeDescription
idchar(3)Country of data
bui_typlongtextBuilding type
air_chdoubleAir change rate (1/h)
cum_perdoubleCumulative percentage of air change rates for the building type
nint(11)Total (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_nor = Ventilation, Norway
NameTypeDescription
idchar(3)Country of data
b_typelongtextBuilding type
vent_syslongtextVentilation system
b_nint(11)Total number of buildings
mean_lsmdoubleMean ventilation in litres per second and m2
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_rate = Air exchange rate by dwelling type, Finland
NameTypeDescription
idchar(3)Country of data
typelongtextDwelling type
ratedoubleAir exchange rate (average) l/h
rate_sddoubleStandard deviation for air exchange rate l/h
nsmallint(6)Total number of dwellings
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_swe1 = Indoor climate and ventilation in schools, Sweden
NameTypeDescription
idchar(3)Country of data
b_typelongtextBuilding type
typelongtextMeasured parameter
meandoubleMean
minlongtextMinimum
maxdoubleMaximum
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_swe2 = Indoor air quality in hospitals, Sweden
NameTypeDescription
idchar(3)Country of data
b_typelongtextBuilding type
typelongtextType of measurement
meandoubleMean
mindoubleMinimum
maxdoubleMaximum
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_swe3 = Ventilation and air flow rates in office buildings, Sweden
NameTypeDescription
idchar(3)Country of data
b_typelongtextBuilding type
vent_syslongtextVentilation system
airflowlongtextType of airflow (Outdoor/Supply/Recirculated)
b_nint(11)Number of rooms
mean_lspdoubleMean L/s per person
sd_lspdoubleStandard deviation L/s per person
mean_achdoubleMean air changes per hour
sd_achdoubleStandard deviation of air changes per hour
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
air_swe4 = The Indoor Climate in Swedish Housing Stock
NameTypeDescription
idchar(3)Country of data
bui_typlongtextBuilding type
con_yealongtextConstruction year
ven_typlongtextCharacteristic
ven_mdoubleVentilation (L/s m2)
ven_pdoubleVentilation (l/s person)
rhdoubleAir humidity (%)
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
dwel_age = Dwellings by age
NameTypeDescription
idchar(3)Country of data
builtlongtextPeriod of construction
total_dwint(11)Total number dwellings (of this timeframe)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
dwel_equ = Dwellings by equipment
NameTypeDescription
idchar(3)Country of data
type_equlongtextType of equipment
total_dwint(11)Total number of dwellings (with this equipment)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
dwel_tot = Total dwellings
NameTypeDescription
idchar(3)Country of data
per1000int(11)Number of dwellings/1000 capita
total_dwint(11)Total number of dwellings
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
floor = Floor space of dwellings by number of rooms
NameTypeDescription
idchar(3)Country of data
typelongtextType of dwelling
averadoubleAverage floor space (m2)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
gas_cook = Use of gas cooker and proportion having fan
NameTypeDescription
idchar(3)Country of data
regionlongtextRegion of data
nint(11)Total (N)
gasdoublePercentage of gas cookers (%)
fandoublePerc. of outside venting extractor fans (%) (above the stove)
commentlongtextComment (Nationally)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
househo2 = Househ. by numb. of pers. and m2 of useful floor space
NameTypeDescription
idchar(3)Country of data
numblongtextNumber of persons in households
totaldoubleTotal number of households (in thousands)
u50doublePercentage living in under 50m2 (%)
i5099doublePercentage living in 50 to 99 m2 (%)
i100149doublePercentage living in 100 to 149 m2 (%)
i150199doublePercentage living in 150 to 199 m2 (%)
i200249doublePercentage living in 200 to 249 m2 (%)
o250doublePercentage living in 250 or more m2 (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
househol = Househ. by number of persons and number of rooms
NameTypeDescription
idchar(3)Country of data
numblongtextNumber of persons in households
totaldoubleTotal number of households (in thousands)
1rdoublePercentage living 1 room residences (%)
2rdoublePercentage living 2 room residences (%)
3rdoublePercentage living 3 room residences (%)
4rdoublePercentage living 4 room residences (%)
5rdoublePercentage living 5 room residences (%)
6rdoublePercentage living 6 or more room residences (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
hou_defe = Housing defects (self reported)
NameTypeDescription
idchar(3)Country of data
moisturesmallint(6)Buildings with moisture in structure (%)
mildewsmallint(6)Buildings with mildew on windows or floor (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
hou_typ = Housing tenure
NameTypeDescription
idchar(3)Country of data
groulongtextType of people in group
ownersmallint(6)Percentage of owners (%)
rentalsmallint(6)Percentage of rentals (%)
socialsmallint(6)Percentage of socialhousing (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
leis_hom = Leisure time homes
NameTypeDescription
idchar(3)Country of data
homesdoublePercentage of population owning leisure home (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
persons = Size of households by tenure
NameTypeDescription
idchar(3)Country of data
numblongtextNumber of persons in households
totaldoubleTotal number of households
own_percdoublePercentage of owners (%)
ren_percdoublePercentage of renters (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
restype1 = Residences by households
NameTypeDescription
idchar(3)Country of data
rtypelongtextType of residence
percdoublePercentage of total (%)
one_persdoubleOne persons percentage of total
two_nodoubleTwo adults without children percentage of total(%)
single_pdoublePercentage of single parent households
two_yesdoubleTwo adults with children percentage of total (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
restype3 = Residential ownership by household
NameTypeDescription
idchar(3)Country of data
rtypelongtextType of household
ownersdoublePercentage of owners (%)
rentersdoublePercentage of renters (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
restype4 = Year of moving into residence
NameTypeDescription
idchar(3)Country of data
move_yearlongtextYear of moving into current housing
percdoubleShare of all population (%)
ownersdoublePercentage of owners (%)
rentersdoublePercentage of renters (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)

Ingestion - Dietary

bf_den = Infant diet at 10 months, Denmark
NameTypeDescription
idchar(3)Country of data
subglongtextPopulation subgroup
dietlongtextDiet at 10 months of age
valuedoubleValue
10thdouble10th percentile
90thdouble90th percentile
nint(11)Total (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bmilk = Breastfeeding
NameTypeDescription
idchar(3)Country of data
3monthdoublePercentage of infants being breastfed (%)
6monthdoublePercentage of infants being breastfed (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
0weeksdoublePercentage of infants being breastfed (%)
6weeksdoublePercentage of infants being breastfed (%)
reflongtextReference
bmilk_ned = Prevalence of breast, artificial and mixed feeding
NameTypeDescription
idchar(3)Country of data
monthint(11)Age group of population (month)
breastint(11)Prevalence of breast feeding (%)
breast_nint(11)N (breast)
breast_civarchar(10)Confidence Interval 95% (breast)
artint(11)Prevalence of artificial feeding (%)
art_nint(11)N (artificial)
art_civarchar(10)Confidence Interval 95% (artificial)
mixint(11)Prevalence of mixed feeding (%)
mix_nint(11)N (mixed)
mix_civarchar(10)Confidence Interval 95% (mixed)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bm_den = Infant breastmilk intake, Denmark
NameTypeDescription
idchar(3)Country of data
agegroupint(11)Age group of population (Months)
mtypelongtextType of measured value
bftypelongtextType of breast-feeding
meanint(11)Mean
sdint(11)SD
nint(11)N
10thint(11)10th
50thint(11)50th
90thint(11)90th
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
facet_fib = Food consumption, Finland (48h recall) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_fic = Food consumption, Finland (3 days diary n.1) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_fid = Food consumption, Finland (3 days diary n.2) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_fra = Food consumption, France (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_hun = Food consumption, Hungary (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_ir1 = Food consumption, Ireland (children) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_ir2 = Food consumption, Ireland (adults) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_ir3 = Food consumption, Ireland (teens) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_ita = Food consumption, Italy (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_pol = Food consumption, Poland (FACET)
NameTypeDescription
facet_por = Food consumption, Portugal (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_uk1 = Food consumption, United Kingdom (1-4 years population) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_uk2 = Food consumption, United Kingdom (4-18 years population) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_uk3 = Food consumption, United Kingdom (19-64 years population) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
facet_uk4 = Food consumption, United Kingdom (over 65 years pop.) (FACET)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
prod_namelongtextProduct type
mean_sdoubleMean (grams per kilograms per day)
sddoubleStandard deviation (grams per kilograms per day)
5thdouble5th percentile (grams per kilograms per day)
50thdouble50th percentile (grams per kilograms per day)
95thdouble95th percentile (grams per kilograms per day)
pop_typelongtextPopulation type
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
source_codevarchar(21)Food category
foch_ne1 = Food consumption children (Averages), Netherlands
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegroupint(11)Age group of population (months)
productlongtextName and description of product
mean_allint(11)Mean consumption (g/day)
doersint(11)The percentage (%) of population that consumed the product
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
foch_ne2 = Food consumption children (Percentages), Netherlands
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegroupint(11)Age group of population (months)
pro_grplongtextName and description of main group
productlongtextName and description of subgroup
percint(11)Consumption of the subgroup product as a share (%) of total consumption of the products in the same main group
doersint(11)The percentage (%) of children who consumed the product
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
foodw_cz = Consumption of wild foodstuffs, Czech Republic
NameTypeDescription
idchar(3)Country of data
productlongtextProduct consumed
totaldoubleAverage consumption of population (kg/year/capita)
criticalsmallint(6)Consumption of critical group (kg/year/capita) (hunters, foresters and their families etc…)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
foodw_fi = Consumption of wild foodstuffs, Finland
NameTypeDescription
idchar(3)Country of data
type_conlongtextType of consumers
productlongtextProduct consumed
meandoubleMean consumption (kg/year/capita)
95CIlongtext95 % Confidence Intervals
percsmallint(6)The percentage (%) of population that consumed the product
nint(11)Sample size (N), persons
n_hhint(11)Sample size (N), households
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ba = Food consumption, Baltic
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
typelongtextName and description of product
meanint(11)Mean consumption (g/day)
sdint(11)Standard deviation of consumption (g/day)
medianint(11)Median consumption (g/day)
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ba1 = FAO food balance sheets (Countries: A - It)
NameTypeDescription
idchar(3)Country of data
productlongtextProduct
prod_iondoubleAmount of domestic production (1000 metric tons)
importsdoubleAmount of imports (1000 metric tons)
stockdoubleStock change (1000 metric tons)
exportsdoubleExports (1000 metric tons)
totaldoubleTotal domestic supply (1000 metric tons)
feeddoubleFeed (1000 metric tons)
seeddoubleSeed (1000 metric tons)
processdoubleProcessing (1000 metric tons)
wastedoubleWaste (1000 metric tons)
otherdoubleOther use (1000 metric tons)
fooddoubleUsed as food (1000 metric tons)
kgdoublePer capita supply kg/year
caloriesdoublePer capita supply of calories/day
proteindoublePer capita supply protein/day (g)
fatdoublePer capita supply of fat/day (g)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ba2 = FAO food balance sheets (Countries: L - U)
NameTypeDescription
idchar(3)Country of data
productlongtextProduct
prod_iondoubleAmount of domestic production (1000 metric tons)
importsdoubleAmount of imports (1000 metric tons)
stockdoubleStock change (1000 metric tons)
exportsdoubleExports (1000 metric tons)
totaldoubleTotal domestic supply (1000 metric tons)
feeddoubleFeed (1000 metric tons)
seeddoubleSeed (1000 metric tons)
processdoubleProcessing (1000 metric tons)
wastedoubleWaste (1000 metric tons)
otherdoubleOther use (1000 metric tons)
fooddoubleUsed as food (1000 metric tons)
kgdoublePer capita supply kg/year
caloriesdoublePer capita supply of calories/day
proteindoubleprotein/capita/day (g)
fatdoublePer capita supply of fat/day (g)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_bel = Food consumption, Belgium
NameTypeDescription
idchar(3)Country of data
genderlongtextGender (male/female/both)
agegrouplongtextAge group of population (years
freqlongtextFrequency of consumption (times/day)
productlongtextName and description of product
percdoublePercentage (%)
nint(11)N
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_bul1 = Food consumption amounts, Bulgaria
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
pro_grouplongtextProduct group
productlongtextName and description of product
mean_condoubleMean consumption for users (g/day)
sddoubleStandard deviation of daily consumption
mediandoubleMedian consumption for users (g/day)
nint(11)Sample size (N)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_bul2 = Consumption frequency of different foodstuffs, Bulgaria
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
productlongtextName and description of product
freqlongtextFrequency of consumption
valuedoubleThe percentage (%) of population that consumed the product
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_da1 = Food availability, DAFNE-Study (Countries: B - F)
NameTypeDescription
idchar(3)Country of data
var_codelongtextSocioeconomic group
fnamelongtextName of food item
levnamelongtextProduct group
valuedoubleMean availability unit/person/day
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_da2 = Food availability, DAFNE-Study (Countries: G - It)
NameTypeDescription
idchar(3)Country of data
var_codelongtextSocioeconomic group
fnamelongtextName of food item
levnamelongtextProduct group
valuedoubleMean availability unit/person/day
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_da3 = Food availability, DAFNE-Study (Countries: L - P)
NameTypeDescription
idchar(3)Country of data
var_codelongtextSocioeconomic group
fnamelongtextName of food item
levnamelongtextProduct group
valuedoubleMean availability unit/person/day
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_da4 = Food availability, DAFNE-Study (Countries: S - U)
NameTypeDescription
idchar(3)Country of data
var_codelongtextSocioeconomic group
fnamelongtextProduct group
levnamelongtextProduct group
valuedoubleMean availability unit/person/day
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_den = Food consumption, Denmark
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
pro_groulongtextProduct group
productlongtextProduct consumed
mean_condoubleMean consumption (g/day), non consumers included
nsmallint(6)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_fin = Food consumption, Finland
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
productlongtextName and description of product
num_conint(11)Number of consumers
prop_conint(11)The percentage (%) of population that consumed the product
mean_conint(11)Mean consumption (g/day), consumers only
sd_conint(11)SD of consumption (g/day), consumers only
mean_allint(11)Mean consumption (g/day), non-consumers included
sd_allint(11)SD of consumption (g/day), non cons. included
nint(11)Total study population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_fra = Food consumption, France
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
productlongtextProduct consumed
valdoubleAverage intake (g/day/person), non cons. included
percdoubleThe percentage (%) of population that consumed the product
nsmallint(6)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_gbr = Food consumption, United Kingdom
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
pro_groulongtextProduct group that product belongs to
productlongtextName and description of product
total_coint(11)Mean consumption over 7 days (g/day) (for all)
sdint(11)Standard deviation of weekly consumption , all
meanuserint(11)Mean consumption over 7 days for consumers (g)
meduserint(11)Median consumption over 7 days for consumers (g)
user_perint(11)The percentage (%) of population that consumed the product
nsmallint(6)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ger = Food consumption, Germany
NameTypeDescription
idchar(3)Country of Data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
productlongtextProduct
mediandoubleMedian consumption (g/day) , (for all)
10thdouble10th percentile of consumption(g/day), (for all)
25thdouble25th percentile of consumption(g/day), (for all)
75thdouble75th percentile of consumption(g/day), (for all)
90thdouble90th percentile of consumption(g/day), (for all)
nsmallint(6)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_hrv = Consumption frequency of different foodstuffs, Croatia
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
productlongtextProduct consumed
freqlongtextFrequency of consumption
valuedoubleThe percentage (%) of population that consumed the product
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_hun = Food consumption, Hungary
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
productlongtextName and description of product
freqlongtextFrequency of consumption
percdoubleThe percentage (%) of population that consumed the product
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ice = Food consumption, Iceland
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
productlongtextName and description of product
meanint(11)Mean consumption (g/day), non consumers included
sdint(11)Standard deviation of daily consumption (g/day)
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ire = Food consumption, Ireland
NameTypeDescription
idchar(3)Country of data
typelongtextType of group (consumers/all)
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
pro_groulongtextGroup of product
productlongtextName and description of product
meanint(11)Mean consumption of product (grams/day)
sdint(11)Standard deviation of consumpiont (grams/day)
medint(11)Median of consumption (grams/day)
5thint(11)5th percentile of consumption (grams/day)
95thint(11)95th percentile of consumption (grams/day)
percsmallint(6)The percentage (%) of population that consumed the product
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ita = Food consumption, Italy
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
pro_groulongtextGroup of product
productlongtextProduct
mean_dcodoubleMean daily consumption(g), non consumers included
sddoubleStandard deviation of daily consumption (all)
mediandoubleMedian daily consumption(g, non consumers included
meanuserdoubleMean daily consumption(g) for consumers
sd_userdoubleStandard deviation of daily consumption for cons.
meduserdoubleMedian daily consumption(g) for consumers
user_perdoubleThe percentage (%) of population that consumed the product
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_ned = Food consumption , Netherlands
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
meallongtextMealtime
productlongtextProduct consumed
meansmallint(6)Mean consumption (g/day), for all
percsmallint(6)The percentage (%) of population that consumed the product
nsmallint(6)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_sca = Food consumption, NorBaGreen study
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
productlongtextProduct consumed
frequlongtextFrequency of consumption
percsmallint(6)The percentage (%) of population that consumed the product
meandoubleMean consumption (times/month)
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
food_swe = Food consumption, Sweden
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
pro_grplongtextGroup of product
productlongtextProduct consumed
meandoubleMean consumption (g/day), non consumers included
freqdoubleFrequency of consumption (times/day)
percdoubleThe percentage (%) of population that consumed the product
nsmallint(6)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
infd_eu = Infant diet, Euro-Growth Study
NameTypeDescription
idchar(3)Country of data
regionlongtextRegion of country
dietlongtextDiet
agelongtextAge group of population (Months)
cumudoubleCumulative percentage
nint(11)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
infd_ge2 = Infant diet, commercial food, Germany
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (Months)
categlongtextType of food product
do_nint(11)Consumer N
doersint(11)Consumer %
intakelongtextIntake of commercial infant food
mindoubleMinimum
5thdouble5th
meandoubleMean
sddoubleSD
95thdouble95th
maxdoubleMaximum
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
infd_ger = Infant diet, Germany
NameTypeDescription
idchar(3)Country of data
agegroupint(11)Age group of population (Months)
genderlongtextGender of group (male/female/both)
dietlongtextDiet
bwdoubleBody weight (kg)
bldoubleBody lenght (cm)
e_intaint(11)Energy intake
tot_nint(11)Total N
tf_gdmint(11)Total food grams per day (mean)
tf_gdsdint(11)Total food grams per day (SD)
tf_kgmint(11)Total food g/kg per day (mean)
tf_kgsdint(11)Total food g/kg per day (SD)
percint(11)% of total food
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
infd_icl = Infant diet, Iceland
NameTypeDescription
idchar(3)Country of data
agegroupint(11)Age group of population (Months)
mtypelongtextType of milk product
meanint(11)Mean energy contribution (%), among all infants receiving the product
sdint(11)SD
nint(11)Number of consumers
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
meat_fis = Consumption of cooked meat and fish
NameTypeDescription
idchar(3)Country of data
regionlongtextRegion of country
genderlongtextGender of group (male/female)
methodlongtextCooking method
pro_grplongtextType of meat/fish
mean_intdoubleMean daily intake (g/day), non-consumers included
sedoubleStandard error of daily intake (g/day)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
medi_bul = Non-prescribed medicine use, Bulgaria
NameTypeDescription
idchar(3)Country of data
agelongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
druglongtextName of non-prescribed medicine
percdoublePercentage of drugs used during the 2 weeks before the survey (%)
user_perlongtextUser percentage
nint(11)Sample population (all)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
mout_gbr = Mouthing behaviour of children up to 5 years, United Kingdom
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population
objlongtextType of object mouthed
type_moulongtextType of mouthing
mean_tlongtextMean time spent mouthing (h:mm:ss)/day
max_tlongtextMax time spent mouthing (h:nn:ss)/day
nsmallint(6)Number of children observed
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
mout_ned = Mouthing behaviour of children from 3 to 36 months, Netherlands
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (months)
freqlongtextMouthing frequency
objlongtextType of object mouthed
typ_moulongtextType of mouthing
doersint(11)Percentage of doers in total group (%)
sddoubleStandard deviation of mean
mindoubleMinimum time per day (minutes)
meandoubleMean time per day (minutes)
maxdoubleMaximum time per day (minutes)
percint(11)Percentage of total mouthing time
nint(11)Total number of people in subgroup
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
soya = Soy consumption
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
typelongtextType of soy product
numberint(11)Number of individuals reporting soy consumption
percdoubleThe percentage (%) of population that consumed the product
meandoubleMean consumpion (g/day)
errordoubleStandard error
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
vegd_bal = Level of dependence on home grown or raised foods
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
levlongtextLevel of dependence
percdoublePercentage of dependece (%)
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
vegu_bal = Use of home grown vegetables, Baltic countries
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
freqlongtextType of frequency
percdoubleThe percentage (%) of population that consumed the product
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
veg_frui = Childrens food frequency
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
type_veglongtextProduct consumed
timelongtextFrequency of consumption
valudoubleThe percentage (%) of population that consumed the product
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
vit_supl = Dietary supplement and non-prescribed medicine use
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
productlongtextType of dietary supplement/non-prescibed medicine
typelongtextType of classification
valuedoubleValue
nlongtextTotal population in group (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
wate_bal = Type of water used for drinking, Baltic
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
type_watlongtextUsual type of drinking water
percdoublePercentage (%)
nint(11)Sample population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
wate_fra = Tapwater consumption, France
NameTypeDescription
idchar(3)Country of data
genderlongtextGender (male/female/both)
agegrouplongtextAge group of population (years
wate_typlongtextType of tapwater
ncint(11)Non consumer%
meandoubleMean (L/week)
mediandoubleMeadian (L/week)
95thdouble95th percentile (L/week)
99thdouble99th percentile (L/week)
ndoubleNumber of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
regionlongtextRegion
source_codevarchar(21)Food category
wate_fraal = Tapwater consumption in Alsace, France
NameTypeDescription
idchar(3)Country of data
villagelongtextVillage
wate_typlongtextType of water
meandoubleMean consumption (mL/week)
percdoublePercentage (%)
ndoubleNumber of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
wate_franc = Non-consumers of unheated tapwater by covariables in France
NameTypeDescription
idchar(3)Country of data
covariable_grouplongtextCovariable group
covariablelongtextCovariable
agegrouplongtextAge group of population (years)
plongtextp
ndoubleNumber of consumers
percdoublea1
ci95_mindoubleConfidence interval, min
ci95_maxdoubleConfidence interval, max
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
wate_ger = Infant tap water consumption, Germany
NameTypeDescription
idchar(3)Country of data
agegroupint(11)Age of population (months)
fed_typelongtextType of feeding method
intakelongtextSource of tapwater intake
mean_intdoubleMean intake
sddoubleStandard deviation of intake
med_intint(11)Median intake
95thint(11)95th percentile of intake
perc_totlongtextMean as percentage of total water (%)
nint(11)Number of 3-day consumption records
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)

Ingestion - non dietary

mout_gbr = Mouthing behaviour of children up to 5 years, United Kingdom
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population
objlongtextType of object mouthed
type_moulongtextType of mouthing
mean_tlongtextMean time spent mouthing (h:mm:ss)/day
max_tlongtextMax time spent mouthing (h:nn:ss)/day
nsmallint(6)Number of children observed
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
mout_ned = Mouthing behaviour of children from 3 to 36 months, Netherlands
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (months)
freqlongtextMouthing frequency
objlongtextType of object mouthed
typ_moulongtextType of mouthing
doersint(11)Percentage of doers in total group (%)
sddoubleStandard deviation of mean
mindoubleMinimum time per day (minutes)
meandoubleMean time per day (minutes)
maxdoubleMaximum time per day (minutes)
percint(11)Percentage of total mouthing time
nint(11)Total number of people in subgroup
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)

Physiology

blength = Bodylength, adults (>2 years)
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
regionlongtextPlace of residence (urban/rural/all)
mean_hdoubleMean height (cm)
sddoubleStandard deviation (SD)
3thdouble3rd percentile (cm)
5thdouble5th percentile (cm)
10thdouble10th percentile (cm)
15thdouble15th percentile (cm)
25thdouble25th percentile (cm)
med_hdoubleMedian height (cm)
75thdouble75th percentile (cm)
85thdouble85th percentile (cm)
90thdouble90th percentile (cm)
95thdouble95th percentile (cm)
97thdouble97th percentile (cm)
nint(11)Number of people (N)
refvarchar(6)Reference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
blen_chi = Bodylength, children (=<2 years)
NameTypeDescription
idchar(3)Country of data
agegroupint(11)Age group of population (months)
genderlongtextGender of group (male/female/both)
regionlongtextPlace of residence (urban/rural/all)
mean_hdoubleMean height (cm)
sddoubleStandard deviation (SD)
3thdouble3rd percentile (cm)
5thdouble5th percentile (cm)
10thdouble10th percentile (cm)
15thdouble15th percentile (cm)
25thdouble25th percentile (cm)
med_hdoubleMedian height (cm)
75thdouble75th percentile (cm)
85thdouble85th percentile (cm)
90thdouble90th percentile (cm)
95thdouble95th percentile (cm)
97thdouble97th percentile (cm)
nint(11)Number of people (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bmi = Overweight and obesity, adults
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
perc_overdouble% Overweighted
perc_obesedouble% Obese
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bmi_chi = Overweight and obesity, children
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
perc_overdouble% Overweighted
perc_obesedouble% Obese
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bw = Bodyweight, adults (>2 years)
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
regionlongtextPlace of residence (urban/rural/all)
mean_wdoubleMean weight of group (kg)
sddoubleStandard deviation of weight (SD)
2thdouble2th percentile (kg)
3thdouble3rd percentile (kg)
5thdouble5th percentile (kg)
10thdouble10th percentile (kg)
15thdouble15th percentile (kg)
25thdouble25th percentile (kg)
med_wdoubleMedian weight of group (kg)
75thdouble75th percentile (kg)
85thdouble85th percentile (kg)
90thdouble90th percentile (kg)
95thdouble95th percentile (kg)
97thdouble97th percentile (kg)
98thdouble98th percentile (kg)
nint(11)Number of people (N)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bwei_chi = Bodyweight, children (=<2 years)
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (months)
genderlongtextGender of group (male/female)
regionlongtextPlace of residence (urban/rural/all)
mean_wdoubleMean weight of group (kg)
sddoubleStandard deviation of weight (SD)
2thdouble2th percentile (kg)
3thdouble3rd percentile (kg)
5thdouble5th percentile (kg)
10thdouble10th percentile (kg)
15thdouble15th percentile (kg)
25thdouble25th percentile (kg)
med_wdoubleMedian weight of group (kg)
75thdouble75th percentile (kg)
85thdouble85th percentile (kg)
90thdouble90th percentile (kg)
95thdouble95th percentile (kg)
97thdouble97th percentile (kg)
98thdouble98th percentile (kg)
nint(11)Number of people (N)
reflongtext
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bw_dist = Body weight, distribution
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
dist_typelongtextDistribution type
udoubleu
a1doublea1
a2doublea2
sigmadoubleSigma
thetadoubleTheta
mindoublemin
maxdoubleMax
effdoubleEffective
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
energ_bel = Average energy expenditure, Belgium
NameTypeDescription
idchar(3)Country of data
agelongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
avgdoubleAverage energy expenditure (METS.min) per week
p25double25th percentile (METS.min) per week
p50double50th percentile (METS.min) per week
p75double75th percentile (METS.min) per week
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
energ_uk = Total energy expenditure and physical activity in children, UK
NameTypeDescription
idchar(3)Country of data
regionvarchar(10)Region of country
genderchar(2)Gender (male/female)
agevarchar(12)Age group of population (years) meand(sd)
heightvarchar(12)Height (m) mean(sd)
weightvarchar(12)Weight (kg) mean(sd)
bmivarchar(12)Body-mass index mean(sd)
bmisdvarchar(12)Mody-mass index SD score mean(sd)
ffmvarchar(12)Fat-free mass (kg) mean(sd)
emvarchar(75)Type of energy measures
em_meandoubleMean (See energy measures for unit)
em_sddoubleSD (See energy measures for unit)
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
rr_ita = Respiratory rate in the first 3 years of life, Italy
NameTypeDescription
idchar(3)Country of data
agelongtextAge group of population (months)
typelongtextType of Subjects (Awake/Asleep)
meandoubleMean of respiratory rate
medianint(11)Median of respiratory rate
sddoubleSD of respiratory rate
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
skin_swe = Total skin surface area, adults (>2 years)
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
mean_sdoubleMean surface area of group (m2)
sddoubleStandard deviation of surface area (SD)
skewnessdoubleSkewness
kurtosisdoubleKurtosis
1stdouble1st percentile (m2)
5thdouble5th percentile (m2)
10thdouble10th percentile (m2)
25thdouble25th percentile (m2)
med_sdoubleMedian surface of group (m2)
75thdouble75th percentile (m2)
90thdouble90th percentile (m2)
95thdouble95th percentile (m2)
99thdouble99th percentile (m2)
nint(11)Number of people (N)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)

Population

age_grp = Population by 5-year age groups
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
total_point(11)Number of people
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
age_year = Population by 1-year age groups
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
total_point(11)Total population of group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bd_rates = Birth & Death-rates
NameTypeDescription
idchar(3)Country of data
b_ratedoubleBirth rate (/1000 capita)
d_ratedoubleDeath rate (/1000 capita)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
births = Live births first - fifth and over
NameTypeDescription
idchar(3)Country of data
typelongtextOrder of birth (first - fifth and over)
total_biint(11)Total amount of live births
percdoublePercentage of all live births (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
bir_age = Live births, average age of childbearing
NameTypeDescription
idchar(3)Country of data
typ_clongtextType of childbearing (all/first)
avg_agedoubleMothers mean age at childbearing, weighted average
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
cities = Population of capital cities and cities with pop. 100000 or over
NameTypeDescription
idchar(3)Country of data
citylongtextCity of data
tot_proint(11)Total population of city (City proper)
mal_proint(11)Male population of city (City proper)
fem_proint(11)Female population of city (City proper)
tot_urbint(11)Total population of city (Urban agglomeration)
mal_urbint(11)Male population of city (Urban agglomeration)
fem_urbint(11)Female population of city (Urban agglomeration)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
eco_popu = Economically active population by education level
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
typelongtextEducation level according to standard ISCED-76
amountint(11)Total size of group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
empd_eco = Employment by economic activity
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
type_poplongtextEconomic activity according to standard ISICv3
totalint(11)Number of people in the group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
empd_emp = Employment by status in employment
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
statuslongtextStatus in employment according to standard ICSE-93
totalint(11)Number of people in the group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
empd_occ = Employment by occupation
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
typelongtextOccupation according to standard ISCO-88
totalint(11)Number of people in the group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
eth_rel = Ethnicity & religion
NameTypeDescription
idchar(3)Country of data
class_flongtextSubject of data (ethnic/religious)
deflongtextDefinition of group
totaldoublePercentage of total population in group (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
income = Income
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
typelongtextEmployment category according to standard ISICv3
emp_typelongtextType of employment
currencylongtextCurrency of salary
periodlongtextPeriod of salary (per hour/per month)
yearlongtext
total_sadoubleSalary
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
lifeex = Life expectancies
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
exp_0doubleLife expectancy (years) at age of 0 year
exp_1doubleLife expectancy (years)at age of 1 year
exp_5doubleLife expectancy (years) at age of 5 years
exp_10doubleLife expectancy (years) at age of 10 years
exp_15doubleLife expectancy (years) at age of 15 years
exp_20doubleLife expectancy (years) at age of 20 years
exp_25doubleLife expectancy (years) at age of 25 years
exp_30doubleLife expectancy (years) at age of 30 years
exp_35doubleLife expectancy (years) at age of 35 years
exp_40doubleLife expectancy (years) at age of 40 years
exp_45doubleLife expectancy (years) at age of 45 years
exp_50doubleLife expectancy (years) at age of 50 years
exp_55doubleLife expectancy (years) at age of 55 years
exp_60doubleLife expectancy (years) at age of 60 years
exp_65doubleLife expectancy (years) at age of 65 years
exp_70doubleLife expectancy (years) at age of 70 years
exp_75doubleLife expectancy (years) at age of 75 years
exp_80doubleLife expectancy (years) at age of 80 years
exp_85doubleLife expectancy (years)at age of 85 years
exp_90doubleLife expectancy (years) at age of 90 years
exp_95doubleLife expectancy (years)at age of 95 years
exp_100doubleLife expectancy (years) at age of 100 years
hale_0doubleHealthy life expectancy at birth (years)
hale_60doubleHealthy life expectancy at age of 60 (years)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
live_bir = Live Births
NameTypeDescription
idchar(3)Country of data
type_birvarchar(20)Type of live birth(first birth/all births)
agegroupvarchar(6)Age group of mother (years)
total_biint(11)Number of life births
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
marital = Marital status
NameTypeDescription
idchar(3)Country of data
type_marlongtextLegal conjugal status in relation to the marriage laws (or customs) in the country (de jure status)
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
percdoublePercentage of people in same group (%)
totalint(11)Number of people in the group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
non_nat = Non-nationals living in country
NameTypeDescription
idchar(3)Country of data
valueint(11)Size of population group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
non_nat2 = Non-national population by main groups of citizenship
NameTypeDescription
idchar(3)Country of data
originlongtextCitizenship
valueint(11)Size of population group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
non_nat3 = Non-nationals living in country by age group
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
valueint(11)Size of population group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
non_nat4 = Non-national EU-25 pop. by country of residence and citizenship
NameTypeDescription
idchar(3)Country of residence
originlongtextCitizenship of resident
valueint(11)Size of population group
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
restype2 = Households
NameTypeDescription
idchar(3)Country of data
rtypelongtextType of household
percdoubleShare (%) of the household type of all the households in the country
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
unemp_ag = Unemployment by age group
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
totaldoubleNumber of unemployed
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
unemp_ec = Unemployment by economic activity
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
typelongtextEconomic activity according to standard ISICv3
totaldoubleNumber of unemployed
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
unemp_ed = Unemployment by education level
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
edlevlongtextEducation level according to standard ISCED-97
totaldoubleNumber of unemployed
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
unemp_oc = Unemployment by occupation
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
type_occlongtextOccupation according to standard ISCO-88
totaldoubleNumber of unemployed
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
urban_rur = Urban/Rural - distribution
NameTypeDescription
idchar(3)Country of data
urbansmallint(6)Percentage of urban population (%)
ruralsmallint(6)Percentage of rural population (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)

Time activity

chil_lab = Child Labour distribution, Bulgaria
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
type_lablongtextType of labour
percdoublePercentage of children in labour (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
educatio = School attendance at different levels
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
type_attlongtextType of attendance
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
valuedoubleValue for type of attendance
edu_une = Primary education hours
NameTypeDescription
idchar(3)Country of data
regionlongtextRegion of country
yearlongtextSchool year
hoursint(11)Hours per year
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
hetus1 = Time Use, ten countries, gainful work by weekday
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
weekdaylongtextWeekday
mean_alllongtextTime spent on gainful work (hh:nn/day)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
hetus2 = Time Use, ten countries: study, domestic work, free time
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
activitylongtextActivity
mean_alllongtextTime spent on activity (hh:nn/day)
doersint(11)Proportion of people who spent any time on the activity, % per day
mean_dolongtextAverage time by those who spent any time on the activity (hh:nn/day)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
hetus3 = Time Use, ten countries: location
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
locationlongtextLocation
mean_alllongtextTime spent in location (hh:nn/day)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
hetus4 = Time Use, ten countries: mode of travel
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
tra_modlongtextMode of travel
mean_alllongtextTime spent in travelling mode (hh:nn/day)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
physact = Physical activity, EU-15
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_bal = Physical activity, Baltic Countries
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_cze = Physical activity, Czech Republic
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_fin = Physical activity, Finland
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_ger = Physical activity, Germany
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_hrv = Physical activity, Croatia
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
activitylongtextActivity engaged
typelongtextType of data collected
valuedoubleValue
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_icl = Physical activity, Iceland
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_mal = Physical activity, Malta
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
phys_uk = Physical activity, United Kingdom
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
edlevlongtextEducation level
activitylongtextActivity engaged
typelongtextType of data collected
meandoubleMean value
mediandoubleMedian
2_5thdouble2.5th percentile
97_5thdouble97.5th percentile
sddoubleStandard deviation of mean
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tich_ne1 = Time use Netherlands, infants, general
NameTypeDescription
idchar(3)Country of data
dev_phalongtextDevelopment phase
agelongtextAge (months) mean(min-max)
tot_nint(11)Total N
act_loclongtextActivity/Location
meanlongtextMean duration of activities per day (hours:minutes) for all members of development group
minlongtextMin duration of activities per day (hours:minutes) for all members of development group
maxlongtextMax duration of activities per day (hours:minutes) for all members of development group
do_nint(11)Doers N
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tich_ne2 = Time use Netherlands, infants, activities
NameTypeDescription
idchar(3)Country of data
dev_phalongtextDevelopment phase
agelongtextAge (months) mean(min-max)
tot_nint(11)Total N
activitylongtextActivity
meanlongtextMean duration of activities per day (hours:minutes) for all members of development group
minlongtextMin duration of activities per day (hours:minutes) for all members of development group
maxlongtextMax duration of activities per day (hours:minutes) for all members of development group
mean_nuint(11)Mean number of contacts per day for all members of development group
min_nuint(11)Min number of contacts per day for all members of development group
max_nuint(11)Max number of contacts per day for all members of development group
do_nint(11)Doers N
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tich_ne3 = Time use Netherlands, infants, contacts with surfaces
NameTypeDescription
idchar(3)Country of data
dev_phavarchar(10)Development phase
agevarchar(11)Age (months) mean(min-max)
tot_nint(11)Total N
activityvarchar(50)Activity
meanvarchar(5)Mean duration of activities per day (hours:minutes) for all members of development group
minvarchar(5)Min duration of activities per day (hours:minutes) for all members of development group
maxvarchar(5)Max duration of activities per day (hours:minutes) for all members of development group
mean_nuint(11)Mean number of contacts per day for all members of development group
min_nuint(11)Min number of contacts per day for all members of development group
max_nuint(11)Max number of contacts per day for all members of development group
do_nint(11)Doers N
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_bel1 = Time use, Belgium 12-49 years
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtext Age group of population (years)
time_wlongtextTime of week
actlongtextName and description of activity
mean_alllongtextMean time spent in activity (hh:nn per day) non-doers included
do_percdoublePercentage of doers in total group (%)
mean_dolongtextMean time spent in activity (hh:nn per day) doers only
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_bel2 = Time use, Belgium years 50-
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtext Age group of population (years)
time_wlongtextTime of week
actlongtextName and description of activity
mean_alllongtextMean time spent in activity (hh:nn per day) non-doers included
do_percdoublePercentage of doers in total group (%)
mean_dolongtextMean time spent in activity (hh:nn per day) doers only
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_bel3 = Time use, Belgium, transport modes and locations
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
time_wlongtextTime of week
actlongtextName and description of activity
mean_alllongtextMean time spent in activity (hh:nn per day) non-doers included
do_percdoublePercentage of doers in total group (%)
mean_dolongtextMean time spent in activity (hh:nn per day) doers only
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_est1 = Time use, Estonia
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
chr_typlongtextPopulation characeristic
subgrplongtextPopulation characeristic subgroup
act_loclongtextType of activity or location
mean_allint(11)Mean time spent in activ./location (min/day) (non doers included)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_est2 = Time use, (24h cycle), Estonia
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
weekdaylongtextWeekday
timelongtextDay time
act_loclongtextType of activity or location
percdoublePercentage of respondents (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_exp = Time use, The Expolis Study
NameTypeDescription
idchar(3)Country of data
citylongtextCity of data
envirolongtextMicroenvironment
genderlongtextGender of group (m/f)
typelongtextPopulation characeristic
valuelongtextPopulation characeristic subgroup
do_nsmallint(6)Number of doers
do_percdoublePercentage of doers (%)
do_amdoubleMean time spent in microenvironment (h/day) doers only
do_sddoubleStandard deviation of mean (doers only)
all_amdoubleMean time spent in microenvironment (h/day) (non-doers included)
all_sddoubleStandard deviation of mean
nsmallint(6)Total number of people in subgroup
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_fi2 = Time use (24h cycle), Finland
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
towlongtextTime of week
todlongtextTime of day
activitylongtextActivity/Location
ratedoublePercentage of doers(%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_fi3 = Time use, Finland, location and transport correlations
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
act1longtextLocation/Mode of transport 1
act2longtextLocation/Mode of transport 2
correlatdoublePearson Correlation Coefficients
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_fi4 = Time use, Finland, activity correlations
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
act1longtextActivity 1
act2longtextActivity 2
correlatdoublePearson Correlation Coefficients
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_fi6 = Time use, Finland, activity, location and transport correlations
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
act1longtextLocation
act2longtextActivity
correlatdoublePearson Correlation Coefficients
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_fin = Time use, Finland
NameTypeDescription
idchar(3)Country of data
typelongtextType of population group
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
activitylongtextActivity engaged
percdoublePercentage of doers (%)
mean_dodoubleMean time (hours/day), doers only
sd_dodoubleStandard deviation (hours/day), doers only
mean_alldoubleMean time (hours/day), non doers included
sd_alldoubleStandard deviation (hours/day),non doers included
nint(11)Population (N)
wnint(11)Weighted population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_fra = Time use, France
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
chr_typlongtextPopulation characeristic
subgrplongtextPopulation characeristic subgroup
activitylongtextActivity
mean_allint(11)Mean time (minutes/day), non doers included
mean_doint(11)Mean time (minutes/day), doers only
doersint(11)Percentage of doers (%)
nint(11)Total population (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_hun = Time use, Hungary
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
class_glongtextPopulation characeristic subgroup
c_typelongtextPopulation characeristic
activlongtextActivity
mean_allint(11)Mean time spent in activity (min/day) non-doers included
doer_perdoublePercentage of doers (%)
mean_doint(11)Mean time spent in activity (min/day) doers only
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_ned = Time use, Netherlands
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female/both)
soc_poslongtextSocial position
actlongtextActivity
doerint(11)Percentage of doers in total group (%)
avgdoubleAverage time spent in activity (hours/week), non-doers included
nint(11)Sample size (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_no2 = Time use, Norway, 24h cycle
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
timelongtextDay time (hh:nn)
actlongtextActivity
percint(11)Percentage of respondents (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_nor = Time use, Norway
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
typ1longtextType of activity (activity, location, transport)
actlongtextActivity
mean_alllongtextMean time spent in activity (hh:nn per day) non doers included
doersint(11)Percentage of doers in total group (%)
mean_dolongtextMean time spent in activity (hh:nn per day) doers only
nint(11)Sample size (N)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_out = Time spent outdoors, Children
NameTypeDescription
idchar(3)Country of data
regionlongtextRegion of data
typelongtextType of study population subgroup
nsmallint(6)Sample size (N)
age_meandoubleMean age of group (years)
age_ranglongtextAge range of group (years)
mean_timdoubleMean time spent outdoors hours/day
sddoubleTime spent outdoors/day (h) (SD)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_por1 = Time use, Portugal
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
typ1longtextPopulation characeristic
typ2longtextType of population group
actlongtextActivity
mean_alllongtextMean time spent in activity (hh:nn per day) non doers included
mean_dolongtextMean time spent in activity (hh:nn per day) doers only
doerslongtextPercentage of doers in total group (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_por2 = Time use, Portugal, 24h cycle, (adults 15- years)
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
timelongtextDay time
typ1longtextType of population group
actlongtextActivity
percdoublePercentage of respondents (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_sln = Time use, Slovenia
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
activitylongtextActivity
mean_allint(11)Mean time spent in activity (min/day) non-doers included
mean_doint(11)Mean time spent in activity (min/day) doers only
doerint(11)Percentage of doers (%)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_swe = Time use, Sweden
NameTypeDescription
idchar(3)Country of data
agegrouplongtextAge group of population (years)
genderlongtextGender of group (male/female)
famstatlongtextFamily status
timewlongtextTime of week
envlongtextEnvironment
doersdoublePercentage of doers (%)
unitlongtextUnit of value
valuedoubleTime spent in environment
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
time_tra = Time use in traffic
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
agegrouplongtextAge group of population (years)
destlongtextDestination
arealongtextArea of residence
tra_typlongtextMeans of Travel
mea_typlongtextDistance travelled or Time travelling
numdoubleNumber of doers out of the whole population (census data)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tim_child = Physical activity, youth
NameTypeDescription
idchar(3)Country of data
regionlongtextRegion of country
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
activitylongtextActivity engaged
typelongtextType of value
valuedoubleValue
nsmallint(6)Sample size (N), all agegroups combined
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tim_fi5f = Time use, Finland, Detailed activity correlations,female
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
act1longtextActivity 1
act2longtextActivity 2
correlatdoublePearson Correlation Coefficients, N = 3912
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tim_fi5m = Time use, Finland, Detailed activity correlations,male
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female)
agegrouplongtextAge group of population (years)
act1longtextActivity 1
act2longtextActivity 2
correlatdoublePearson Correlation Coefficients, N = 3470
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tind1_fra = Time spent indoor by gender, age, occupation and season in France
NameTypeDescription
idchar(3)Country of data
param_namelongtextParameter
param_valuelongtextParameter value
mean_sdoubleMean (hours per week)
sddoubleStandard deviation
min_valdoubleMinimum value (hours per week)
25thdouble25th percentile (hours per week)
50thdouble50th percentile (hours per week)
75thdouble75th percentile (hours per week)
95thdouble95th percentile (hours per week)
max_valdoubleMaximum value (hours per week)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tind2_fra = Time spent indoor by week day in France
NameTypeDescription
idchar(3)Country of data
wdaylongtextWeek day
mean_sdoubleMean (hours)
sddoubleStandard deviation
min_valdoubleMinimum value (hours)
25thdouble25th percentile (hours)
50thdouble50th percentile (hours)
75thdouble75th percentile (hours)
95thdouble95th percentile (hours)
max_valdoubleMaximum value (hours)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tind3_fra = Time spent indoor by geographical area and season in France
NameTypeDescription
idchar(3)Country of data
regionlongtextRegion
seasonlongtextSeason
mean_sdoubleMean (hours per week)
sddoubleStandard deviation
min_valdoubleMinimum value (hours per week)
25thdouble25th percentile (hours per week)
50thdouble50th percentile (hours per week)
75thdouble75th percentile (hours per week)
95thdouble95th percentile (hours per week)
max_valdoubleMaximum value (hours per week)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
tind4_fra = Time spent indoor by room and gender in France
NameTypeDescription
idchar(3)Country of data
roomlongtextRoom
genderlongtextGender
mean_sdoubleMean (h per week)
sddoubleStandard deviation
min_valdoubleMinimum value (hours per week)
25thdouble25th percentile (hours per week)
50thdouble50th percentile (hours per week)
75thdouble75th percentile (hours per week)
95thdouble95th percentile (hours per week)
max_valdoubleMaximum value (hours per week)
reflongtextReference
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
titra_fi = Mode of transport, Finland, students
NameTypeDescription
idchar(3)Country of data
genderlongtextGender (male/female/both)
agegrouplongtextAge group of population (years)
levellongtextEducation level
tra_typlongtextMeans of school travel
percint(11)Percentage of total travelling
nint(11)Number of research days (N)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
titr_lux = Time use in traffic, Luxemburg
NameTypeDescription
idchar(3)Country of data
distlongtextDistance from workplace
t_modelongtextTransportmode
numbint(11)Commuters according to the distance from workplace by main transportmode
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
we_work = Employees working at weekends
NameTypeDescription
idchar(3)Country of data
daylongtextDay of weekend
genderlongtextGender of group (male/female)
worklongtextType of economic activity
percsmallint(6)Percentage of all men/women in sector (%) (at least sometimes, formal arrangements only)
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)
workh = Working hours
NameTypeDescription
idchar(3)Country of data
genderlongtextGender of group (male/female/both)
typlongtextEconomic activity according to standard ISICv3
clslongtextType of employment
da_typlongtextType of data (actual hours/hours paid for)
totdoubleHours of work per week
d_year_fint(11)Data year (beginning)
d_year_tint(11)Data year (end)