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Every WID variable is identified by a compact code encoding four independent dimensions: series type, concept, age group, and population unit. This vignette documents all six lookup tables and explains how to use the code grammar programmatically.
A full variable code has the structure:
<type:1><concept:5-6>[<age:3>][<pop:1>]All components are validated against the lookup tables.
wid_decode() and wid_encode() convert
between the string and its components;wid_validate() checks components without constructing a
code;wid_search() queries any table by regex.wid_series_types)The first character of every WID code. There are 17 types.
wid_series_types
#> code description
#> 1 a average
#> 2 b inverted Pareto-Lorenz coefficient
#> 3 f female population
#> 4 g Gini coefficient
#> 5 i index
#> 6 n population
#> 7 s share
#> 8 t threshold
#> 9 m total
#> 10 p proportion of women
#> 11 w wealth-to-income ratio or labor/capital share
#> 12 y wealth-to-GDP ratio
#> 13 r Top 10/Bottom 50 ratio
#> 14 x exchange rate (market or PPP)
#> 15 e Total emissions
#> 16 k Per capita emissions
#> 17 l Average per capita group emissionsThe most commonly used types in distributional analysis:
| Code | Meaning | Unit |
|---|---|---|
s |
share | fraction of 1 (e.g. 0.20 = 20%) |
a |
average | local currency, last year’s prices |
t |
threshold | local currency, last year’s prices |
m |
total | local currency, last year’s prices |
g |
Gini coefficient | 0–1 |
b |
inverted Pareto-Lorenz coefficient | dimensionless |
w |
wealth/income ratio | fraction of national income |
x |
exchange rate | LCU per foreign currency |
i |
index | dimensionless |
Series types s, g, b,
w, r, p, i,
y are dimensionless; wid_convert() skips them.
All others carry monetary units and can be converted.
wid_concepts)Characters 2–6 (or 2–7 for six-letter concepts) of the variable code. There are 464 concepts covering income, wealth, emissions, and demographic series.
nrow(wid_concepts)
#> [1] 464
head(wid_concepts, 10)
#> code description
#> 1 cainc (=) post-tax disposable income
#> 2 ccmhn (+) CFC of mixed income of household sector
#> 3 ccmho (+) consumption of fixed capital attributable to mixed income
#> 4 ccshn (+) CFC of operating surplus of household sector
#> 5 ccsho (+) consumption of fixed capital attributable to operating surplus
#> 6 ceuco (+) compensation of employees of the corporate sector
#> 7 ceugo (+) compensation of employees of the government
#> 8 ceuhn (+) compensation of employees of household sector
#> 9 cfcco (+) CFC income of corporations
#> 10 cfcfc (+) CFC of financial corporationsThe most-used concepts in distributional national accounts:
| Code | Description |
|---|---|
ptinc |
pre-tax national income |
plinc |
pre-tax labour income |
pkink |
pre-tax capital income |
fiinc |
fiscal income |
nninc |
net national income |
hweal |
net personal wealth |
hwdeb |
personal debt |
hwnfa |
net financial assets |
hwhou |
housing wealth |
| Code | Description |
|---|---|
tco2e |
total CO₂-equivalent emissions |
tpcem |
per-capita emissions |
wid_search() matches against both code and
description:
wid_search("wealth")
#> table variable description
#> 1 concepts cwres (+) residual corporate wealth
#> 2 concepts gweal (=) net wealth of the general government
#> 3 concepts hweal (=) household net wealth
#> 4 concepts iweal (=) non-profit institutions’ net wealth
#> 5 concepts nwboo (=) book-value national wealth
#> 6 concepts nweal (=) net market-value national wealth
#> 7 concepts pweal (=) private net wealth
#> 8 concepts pwoff (+) offshore wealth
#> 9 concepts pwtgr (+) property and wealth taxes
#> 10 concepts tiwgo (+) direct taxes on income and wealth
#> 11 concepts tiwhn (+) taxes on income and wealth paid by households
#> 12 concepts tiwho (+) personal taxes on income and wealth
#> 13 concepts tiwnp (+) personal taxes on income and wealth
#> 14 concepts wwealc Corporate wealth-to-income ratio
#> 15 concepts wwealg Government wealth-to-income ratio
#> 16 concepts wwealh Household wealth-to-income ratio
#> 17 concepts wweali Institutional wealth-to-income ratio
#> 18 concepts wwealn Net national wealth-to-income ratio
#> 19 concepts wwealp Private wealth-to-income ratio
wid_search("income", tables = "concepts")
#> table variable
#> 1 concepts cainc
#> 2 concepts ccmhn
#> 3 concepts ccmho
#> 4 concepts cfcco
#> 5 concepts citgr
#> 6 concepts comnx
#> 7 concepts diinc
#> 8 concepts fainc
#> 9 concepts fdinx
#> 10 concepts fdipx
#> 11 concepts fdirx
#> 12 concepts ficap
#> 13 concepts fiinc
#> 14 concepts filin
#> 15 concepts fimik
#> 16 concepts fimil
#> 17 concepts fimix
#> 18 concepts finpx
#> 19 concepts finrx
#> 20 concepts fkpin
#> 21 concepts flcin
#> 22 concepts flcip
#> 23 concepts flcir
#> 24 concepts flinc
#> 25 concepts gmxhn
#> 26 concepts gmxho
#> 27 concepts gsmhn
#> 28 concepts gsmho
#> 29 concepts gsrnp
#> 30 concepts inyixx
#> 31 concepts nmxhn
#> 32 concepts nmxho
#> 33 concepts nnfin
#> 34 concepts nninc
#> 35 concepts nsmhn
#> 36 concepts nsmho
#> 37 concepts pinnx
#> 38 concepts pinpx
#> 39 concepts pinrx
#> 40 concepts pitgr
#> 41 concepts pkkin
#> 42 concepts pllin
#> 43 concepts prgco
#> 44 concepts prgfc
#> 45 concepts prggo
#> 46 concepts prghn
#> 47 concepts prgho
#> 48 concepts prgnf
#> 49 concepts prgnp
#> 50 concepts prico
#> 51 concepts prifc
#> 52 concepts prigo
#> 53 concepts prihn
#> 54 concepts priho
#> 55 concepts prinf
#> 56 concepts prinp
#> 57 concepts prpco
#> 58 concepts prpfc
#> 59 concepts prpgo
#> 60 concepts prphn
#> 61 concepts prpho
#> 62 concepts prpnf
#> 63 concepts prpnp
#> 64 concepts ptdnx
#> 65 concepts ptdpx
#> 66 concepts ptdrx
#> 67 concepts ptenx
#> 68 concepts ptepx
#> 69 concepts pterx
#> 70 concepts ptfnx
#> 71 concepts ptfpx
#> 72 concepts ptfrx
#> 73 concepts ptinc
#> 74 concepts ptkin
#> 75 concepts ptlin
#> 76 concepts ptrrx
#> 77 concepts sagco
#> 78 concepts savco
#> 79 concepts secco
#> 80 concepts secfc
#> 81 concepts secgo
#> 82 concepts sechn
#> 83 concepts secho
#> 84 concepts secnf
#> 85 concepts secnp
#> 86 concepts segco
#> 87 concepts seggo
#> 88 concepts seghn
#> 89 concepts segho
#> 90 concepts segnp
#> 91 concepts tiwgo
#> 92 concepts tiwhn
#> 93 concepts tiwho
#> 94 concepts tiwnp
#> 95 concepts wcapsh
#> 96 concepts wcsgni
#> 97 concepts wcsnni
#> 98 concepts wlabsh
#> 99 concepts wlsgni
#> 100 concepts wlsnni
#> 101 concepts wwealc
#> 102 concepts wwealg
#> 103 concepts wwealh
#> 104 concepts wweali
#> 105 concepts wwealn
#> 106 concepts wwealp
#> description
#> 1 (=) post-tax disposable income
#> 2 (+) CFC of mixed income of household sector
#> 3 (+) consumption of fixed capital attributable to mixed income
#> 4 (+) CFC income of corporations
#> 5 (+) corporate income tax
#> 6 (+) net foreign labor income
#> 7 (=) post-tax national income
#> 8 (=) factor national income
#> 9 (+) net foreign direct investment income
#> 10 (+) foreign direct investment income
#> 11 (+) foreign direct investment income
#> 12 (+) fiscal capital income
#> 13 (=) fiscal income
#> 14 (+) fiscal labor income
#> 15 (+) capital component of mixed-income
#> 16 (+) labor component of mixed-income
#> 17 (=) mixed-income
#> 18 (-) foreign income paid to the rest of the world
#> 19 (+) foreign income received from the rest of the world
#> 20 (+) net capital income
#> 21 (+) net foreign labor and capital income
#> 22 (+) labor and capital income paid to the rest of the world
#> 23 (+) labor and capital income from the rest of the world
#> 24 (=) labor factor income
#> 25 (+) gross mixed income of household sector
#> 26 (+) gross mixed income
#> 27 (+) gross operating surplus and mixed income
#> 28 (+) gross operating surplus and mixed income
#> 29 (+) gross operating surplus and mixed income
#> 30 Consumer price index / national income deflator
#> 31 (+) net mixed income of household sector
#> 32 (+) net mixed income of households
#> 33 (+) foreign income
#> 34 (=) net national income
#> 35 (+) net operating surplus and mixed income
#> 36 (+) net operating surplus and mixed income
#> 37 (+) net foreign capital income
#> 38 (+) property income paid to the rest of the world
#> 39 (+) property income received from the rest of the world
#> 40 (+) personal income tax
#> 41 (+) pretax capital income
#> 42 (+) pretax labor income
#> 43 (=) gross primary income of corporations
#> 44 (=) gross primary income of financial corporations
#> 45 (=) gross primary income of the general government
#> 46 (=) gross primary income of households and NPISH
#> 47 (=) gross primary income of households
#> 48 (=) gross primary income of non-financial corporations
#> 49 (=) gross primary income of NPISH
#> 50 (+) net primary income of corporations
#> 51 (+) net primary income of financial corporations
#> 52 (+) net primary income of the general government
#> 53 (+) net primary income of households and non-profits
#> 54 (+) net primary income of households
#> 55 (+) net primary income of non-financial corporations
#> 56 (+) net primary income of non-profits
#> 57 (+) property income of corporations
#> 58 (+) property income (net)
#> 59 (+) property income of the government
#> 60 (+) property income of households and NPISH
#> 61 (+) property income (net)
#> 62 (+) property income (net)
#> 63 (+) property income (net)
#> 64 (+) net debt income
#> 65 (+) debt income
#> 66 (+) debt income
#> 67 (+) net equity income
#> 68 (+) equity income
#> 69 (+) equity income
#> 70 (+) net portfolio income
#> 71 (+) portfolio and other income
#> 72 (+) portfolio and other income
#> 73 (=) pretax national income
#> 74 (+) pretax capital income
#> 75 (+) pretax labor income
#> 76 (+) reserves income
#> 77 (+) gross savings/secondary income of corporations
#> 78 (+) net savings/secondary income of corporations
#> 79 (+) net secondary income of corporations
#> 80 (+) net secondary income of financial corporations
#> 81 (+) net secondary income of the general government
#> 82 (+) net secondary income of households and non-profits
#> 83 (+) net secondary income of households
#> 84 (+) net secondary income of non-financial corporations
#> 85 (+) net secondary income of non-profits
#> 86 (=) gross secondary income/gross saving of corporations
#> 87 (=) gross secondary income of the general government
#> 88 (=) gross secondary income of households and NPISH
#> 89 (=) gross secondary income of households
#> 90 (=) gross secondary income of NPISH
#> 91 (+) direct taxes on income and wealth
#> 92 (+) taxes on income and wealth paid by households
#> 93 (+) personal taxes on income and wealth
#> 94 (+) personal taxes on income and wealth
#> 95 Capital share of national income
#> 96 Capital share of total gross national income at factor-price
#> 97 Capital share of total national income at factor-price
#> 98 Labor share of national income
#> 99 Labor share of total gross national income at factor-price
#> 100 Labor share of total national income at factor-price
#> 101 Corporate wealth-to-income ratio
#> 102 Government wealth-to-income ratio
#> 103 Household wealth-to-income ratio
#> 104 Institutional wealth-to-income ratio
#> 105 Net national wealth-to-income ratio
#> 106 Private wealth-to-income ratio
wid_search("^ptinc$", tables = "concepts") # exact match
#> table variable description
#> 1 concepts ptinc (=) pretax national incomeTo find all share series for wealth:
wid_ages)Age groups are represented by three-digit, zero-padded codes for population brackets. There are 40 defined age groups.
wid_ages
#> code
#> 1 999
#> 2 014
#> 3 156
#> 4 997
#> 5 991
#> 6 992
#> 7 993
#> 8 994
#> 9 995
#> 10 996
#> 11 998
#> 12 201
#> 13 251
#> 14 301
#> 15 351
#> 16 401
#> 17 451
#> 18 501
#> 19 551
#> 20 601
#> 21 651
#> 22 701
#> 23 751
#> 24 801
#> 25 851
#> 26 901
#> 27 951
#> 28 111
#> 29 001
#> 30 051
#> 31 101
#> 32 151
#> 33 202
#> 34 302
#> 35 402
#> 36 502
#> 37 602
#> 38 702
#> 39 802
#> 40 902
#> description
#> 1 The population is comprised of individuals of all ages.
#> 2 The population is comprised of individuals in the 0 to 14 age group.
#> 3 The population is comprised of individuals in the 15 to 64 age group.
#> 4 The population is comprised of individuals over the age of 65.
#> 5 The population is comprised of individuals below the age of 20.
#> 6 The population is comprised of individuals over the age of 20.
#> 7 The population is comprised of individuals between the ages of 20 and 39.
#> 8 The population is comprised of individuals between the ages of 40 and 59.
#> 9 The population is comprised of individuals over the age of 60.
#> 10 The population is comprised of individuals between the ages of 20 and 64.
#> 11 The population is comprised of individuals over the age of 80.
#> 12 The population is comprised of individuals in the 20 to 24 age group.
#> 13 The population is comprised of individuals in the 25 to 29 age group.
#> 14 The population is comprised of individuals in the 30 to 34 age group.
#> 15 The population is comprised of individuals in the 35 to 39 age group.
#> 16 The population is comprised of individuals in the 40 to 44 age group.
#> 17 The population is comprised of individuals in the 45 to 49 age group.
#> 18 The population is comprised of individuals in the 50 to 54 age group.
#> 19 The population is comprised of individuals in the 55 to 59 age group.
#> 20 The population is comprised of individuals in the 60 to 64 age group.
#> 21 The population is comprised of individuals in the 65 to 69 age group.
#> 22 The population is comprised of individuals in the 70 to 74 age group.
#> 23 The population is comprised of individuals in the 75 to 79 age group.
#> 24 The population is comprised of individuals in the 80 to 84 age group.
#> 25 The population is comprised of individuals in the 85 to 89 age group.
#> 26 The population is comprised of individuals in the 90 to 94 age group.
#> 27 The population is comprised of individuals in the 95 to 99 age group.
#> 28 The population is comprised of individuals over the age of 99.
#> 29 The population is comprised of individuals in the 0 to 4 age group.
#> 30 The population is comprised of individuals in the 5 to 9 age group.
#> 31 The population is comprised of individuals in the 10 to 14 age group.
#> 32 The population is comprised of individuals in the 15 to 19 age group.
#> 33 The population is comprised of individuals in the 20 to 29 age group.
#> 34 The population is comprised of individuals in the 30 to 39 age group.
#> 35 The population is comprised of individuals in the 40 to 49 age group.
#> 36 The population is comprised of individuals in the 50 to 59 age group.
#> 37 The population is comprised of individuals in the 60 to 69 age group.
#> 38 The population is comprised of individuals in the 70 to 79 age group.
#> 39 The population is comprised of individuals in the 80 to 89 age group.
#> 40 The population is comprised of individuals in the 90 to 99 age group.The most-used groups:
| Code | Description |
|---|---|
999 |
all ages |
992 |
adults 20+ (most common default) |
996 |
adults 20–64 (working age) |
993 |
adults 20–39 |
994 |
adults 40–59 |
995 |
adults 60+ |
997 |
elderly 65+ |
014 |
children 0–14 |
The default in download_wid() is
ages = "992". To download all available age groups pass
ages = "all".
wid_pop_types)One-letter codes for the statistical unit of observation. There are 6 types.
wid_pop_types
#> code description
#> 1 i individuals
#> 2 j equal-split adults
#> 3 m male
#> 4 f female
#> 5 t tax unit
#> 6 e employed| Code | Description |
|---|---|
j |
equal-split adults (income/wealth split equally between spouses) |
i |
individuals |
t |
tax units |
m |
male |
f |
female |
e |
employed |
j (equal-split) is the standard unit for distributional
comparisons because it avoids counting couples differently in countries
with different filing conventions. The default in
download_wid() is pop = "j".
wid_countries)Two-letter ISO codes plus WID regional aggregates. There are 281 entries.
head(wid_countries, 10)
#> code description
#> 1 AD Andorra
#> 2 AE United Arab Emirates
#> 3 AF Afghanistan
#> 4 AG Antigua and Barbuda
#> 5 AI Anguilla
#> 6 AL Albania
#> 7 AM Armenia
#> 8 AO Angola
#> 9 AR Argentina
#> 10 AT AustriaCountry sub-regions follow the pattern XX-YY
(e.g. US-CA for California). Regional aggregates use
non-standard codes (e.g. WO for world, QE for
Europe).
wid_search("United States", tables = "countries")
#> No matches found.
wid_search("^US", tables = "countries") # US and all sub-regions
#> table variable description
#> 1 countries SU USSR
#> 2 countries US USA
#> 3 countries US-AK Alaska
#> 4 countries US-AL Alabama
#> 5 countries US-AR Arkansas
#> 6 countries US-AZ Arizona
#> 7 countries US-CA California
#> 8 countries US-CO Colorado
#> 9 countries US-CT Connecticut
#> 10 countries US-DC District of Columbia
#> 11 countries US-DE Delaware
#> 12 countries US-FL Florida
#> 13 countries US-GA Georgia
#> 14 countries US-HI Hawaii
#> 15 countries US-IA Iowa
#> 16 countries US-ID Idaho
#> 17 countries US-IL Illinois
#> 18 countries US-IN Indiana
#> 19 countries US-KS Kansas
#> 20 countries US-KY Kentucky
#> 21 countries US-LA Louisiana
#> 22 countries US-MA Massachusetts
#> 23 countries US-MD Maryland
#> 24 countries US-ME Maine
#> 25 countries US-MI Michigan
#> 26 countries US-MN Minnesota
#> 27 countries US-MO Missouri
#> 28 countries US-MS Mississippi
#> 29 countries US-MT Montana
#> 30 countries US-NC North Carolina
#> 31 countries US-ND North Dakota
#> 32 countries US-NE Nebraska
#> 33 countries US-NH New Hampshire
#> 34 countries US-NJ New Jersey
#> 35 countries US-NM New Mexico
#> 36 countries US-NV Nevada
#> 37 countries US-NY New York
#> 38 countries US-OH Ohio
#> 39 countries US-OK Oklahoma
#> 40 countries US-OR Oregon
#> 41 countries US-PA Pennsylvania
#> 42 countries US-RI Rhode Island
#> 43 countries US-SC South Carolina
#> 44 countries US-SD South Dakota
#> 45 countries US-TN Tennessee
#> 46 countries US-TX Texas
#> 47 countries US-UT Utah
#> 48 countries US-VA Virginia
#> 49 countries US-VT Vermont
#> 50 countries US-WA Washington
#> 51 countries US-WI Wisconsin
#> 52 countries US-WV West Virginia
#> 53 countries US-WY Wyoming
wid_search("Europe", tables = "countries")
#> No matches found.wid_validate() warns on codes not matching the
^[A-Z]{2}(-[A-Z0-9]{1,5})?$ pattern:
wid_percentiles)Codes of the form pXpY specifying a fraction of the
distribution. There are 184 enumerated codes.
head(wid_percentiles, 10)
#> code description
#> 1 p0p1 Bottom 1%
#> 2 p0p10 Bottom 10%
#> 3 p0p100 Entire population
#> 4 p0p20 Bottom 20%
#> 5 p0p30 Bottom 30%
#> 6 p0p40 Bottom 40%
#> 7 p0p50 Bottom 50%
#> 8 p0p60 Bottom 60%
#> 9 p0p70 Bottom 70%
#> 10 p0p80 Bottom 80%The meaning of a percentile code depends on the series type:
s, a):
pXpY denotes the group from the X-th to the Y-th
percentile.
p99p100 = top 1%.t): pXpY or
pX denotes the minimum value that places an
individual in the group.
p90p100 is the 90th quantile.m, n,
x, i): use p0p100 (full
population).| Code | Meaning |
|---|---|
p0p100 |
whole population |
p0p50 |
bottom 50% |
p50p90 |
middle 40% |
p90p100 |
top 10% |
p99p100 |
top 1% |
p99.9p100 |
top 0.1% |
p99.99p100 |
top 0.01% |
p0p50, p50p90, p90p100 |
the three standard WID groups |
wid_search("top 1", tables = "percentiles")
#> table variable description
#> 1 percentiles p90p100 Top 10%
#> 2 percentiles p99p100 Top 1%
wid_search("bottom", tables = "percentiles")
#> table variable description
#> 1 percentiles p0p1 Bottom 1%
#> 2 percentiles p0p10 Bottom 10%
#> 3 percentiles p0p20 Bottom 20%
#> 4 percentiles p0p30 Bottom 30%
#> 5 percentiles p0p40 Bottom 40%
#> 6 percentiles p0p50 Bottom 50%
#> 7 percentiles p0p60 Bottom 60%
#> 8 percentiles p0p70 Bottom 70%
#> 9 percentiles p0p80 Bottom 80%
#> 10 percentiles p0p90 Bottom 90%Pass tables = "all" to search every table
simultaneously:
wid_search("income", tables = "all")
#> table variable
#> 1 concepts cainc
#> 2 concepts ccmhn
#> 3 concepts ccmho
#> 4 concepts cfcco
#> 5 concepts citgr
#> 6 concepts comnx
#> 7 concepts diinc
#> 8 concepts fainc
#> 9 concepts fdinx
#> 10 concepts fdipx
#> 11 concepts fdirx
#> 12 concepts ficap
#> 13 concepts fiinc
#> 14 concepts filin
#> 15 concepts fimik
#> 16 concepts fimil
#> 17 concepts fimix
#> 18 concepts finpx
#> 19 concepts finrx
#> 20 concepts fkpin
#> 21 concepts flcin
#> 22 concepts flcip
#> 23 concepts flcir
#> 24 concepts flinc
#> 25 concepts gmxhn
#> 26 concepts gmxho
#> 27 concepts gsmhn
#> 28 concepts gsmho
#> 29 concepts gsrnp
#> 30 concepts inyixx
#> 31 concepts nmxhn
#> 32 concepts nmxho
#> 33 concepts nnfin
#> 34 concepts nninc
#> 35 concepts nsmhn
#> 36 concepts nsmho
#> 37 concepts pinnx
#> 38 concepts pinpx
#> 39 concepts pinrx
#> 40 concepts pitgr
#> 41 concepts pkkin
#> 42 concepts pllin
#> 43 concepts prgco
#> 44 concepts prgfc
#> 45 concepts prggo
#> 46 concepts prghn
#> 47 concepts prgho
#> 48 concepts prgnf
#> 49 concepts prgnp
#> 50 concepts prico
#> 51 concepts prifc
#> 52 concepts prigo
#> 53 concepts prihn
#> 54 concepts priho
#> 55 concepts prinf
#> 56 concepts prinp
#> 57 concepts prpco
#> 58 concepts prpfc
#> 59 concepts prpgo
#> 60 concepts prphn
#> 61 concepts prpho
#> 62 concepts prpnf
#> 63 concepts prpnp
#> 64 concepts ptdnx
#> 65 concepts ptdpx
#> 66 concepts ptdrx
#> 67 concepts ptenx
#> 68 concepts ptepx
#> 69 concepts pterx
#> 70 concepts ptfnx
#> 71 concepts ptfpx
#> 72 concepts ptfrx
#> 73 concepts ptinc
#> 74 concepts ptkin
#> 75 concepts ptlin
#> 76 concepts ptrrx
#> 77 concepts sagco
#> 78 concepts savco
#> 79 concepts secco
#> 80 concepts secfc
#> 81 concepts secgo
#> 82 concepts sechn
#> 83 concepts secho
#> 84 concepts secnf
#> 85 concepts secnp
#> 86 concepts segco
#> 87 concepts seggo
#> 88 concepts seghn
#> 89 concepts segho
#> 90 concepts segnp
#> 91 concepts tiwgo
#> 92 concepts tiwhn
#> 93 concepts tiwho
#> 94 concepts tiwnp
#> 95 concepts wcapsh
#> 96 concepts wcsgni
#> 97 concepts wcsnni
#> 98 concepts wlabsh
#> 99 concepts wlsgni
#> 100 concepts wlsnni
#> 101 concepts wwealc
#> 102 concepts wwealg
#> 103 concepts wwealh
#> 104 concepts wweali
#> 105 concepts wwealn
#> 106 concepts wwealp
#> 107 series_types w
#> description
#> 1 (=) post-tax disposable income
#> 2 (+) CFC of mixed income of household sector
#> 3 (+) consumption of fixed capital attributable to mixed income
#> 4 (+) CFC income of corporations
#> 5 (+) corporate income tax
#> 6 (+) net foreign labor income
#> 7 (=) post-tax national income
#> 8 (=) factor national income
#> 9 (+) net foreign direct investment income
#> 10 (+) foreign direct investment income
#> 11 (+) foreign direct investment income
#> 12 (+) fiscal capital income
#> 13 (=) fiscal income
#> 14 (+) fiscal labor income
#> 15 (+) capital component of mixed-income
#> 16 (+) labor component of mixed-income
#> 17 (=) mixed-income
#> 18 (-) foreign income paid to the rest of the world
#> 19 (+) foreign income received from the rest of the world
#> 20 (+) net capital income
#> 21 (+) net foreign labor and capital income
#> 22 (+) labor and capital income paid to the rest of the world
#> 23 (+) labor and capital income from the rest of the world
#> 24 (=) labor factor income
#> 25 (+) gross mixed income of household sector
#> 26 (+) gross mixed income
#> 27 (+) gross operating surplus and mixed income
#> 28 (+) gross operating surplus and mixed income
#> 29 (+) gross operating surplus and mixed income
#> 30 Consumer price index / national income deflator
#> 31 (+) net mixed income of household sector
#> 32 (+) net mixed income of households
#> 33 (+) foreign income
#> 34 (=) net national income
#> 35 (+) net operating surplus and mixed income
#> 36 (+) net operating surplus and mixed income
#> 37 (+) net foreign capital income
#> 38 (+) property income paid to the rest of the world
#> 39 (+) property income received from the rest of the world
#> 40 (+) personal income tax
#> 41 (+) pretax capital income
#> 42 (+) pretax labor income
#> 43 (=) gross primary income of corporations
#> 44 (=) gross primary income of financial corporations
#> 45 (=) gross primary income of the general government
#> 46 (=) gross primary income of households and NPISH
#> 47 (=) gross primary income of households
#> 48 (=) gross primary income of non-financial corporations
#> 49 (=) gross primary income of NPISH
#> 50 (+) net primary income of corporations
#> 51 (+) net primary income of financial corporations
#> 52 (+) net primary income of the general government
#> 53 (+) net primary income of households and non-profits
#> 54 (+) net primary income of households
#> 55 (+) net primary income of non-financial corporations
#> 56 (+) net primary income of non-profits
#> 57 (+) property income of corporations
#> 58 (+) property income (net)
#> 59 (+) property income of the government
#> 60 (+) property income of households and NPISH
#> 61 (+) property income (net)
#> 62 (+) property income (net)
#> 63 (+) property income (net)
#> 64 (+) net debt income
#> 65 (+) debt income
#> 66 (+) debt income
#> 67 (+) net equity income
#> 68 (+) equity income
#> 69 (+) equity income
#> 70 (+) net portfolio income
#> 71 (+) portfolio and other income
#> 72 (+) portfolio and other income
#> 73 (=) pretax national income
#> 74 (+) pretax capital income
#> 75 (+) pretax labor income
#> 76 (+) reserves income
#> 77 (+) gross savings/secondary income of corporations
#> 78 (+) net savings/secondary income of corporations
#> 79 (+) net secondary income of corporations
#> 80 (+) net secondary income of financial corporations
#> 81 (+) net secondary income of the general government
#> 82 (+) net secondary income of households and non-profits
#> 83 (+) net secondary income of households
#> 84 (+) net secondary income of non-financial corporations
#> 85 (+) net secondary income of non-profits
#> 86 (=) gross secondary income/gross saving of corporations
#> 87 (=) gross secondary income of the general government
#> 88 (=) gross secondary income of households and NPISH
#> 89 (=) gross secondary income of households
#> 90 (=) gross secondary income of NPISH
#> 91 (+) direct taxes on income and wealth
#> 92 (+) taxes on income and wealth paid by households
#> 93 (+) personal taxes on income and wealth
#> 94 (+) personal taxes on income and wealth
#> 95 Capital share of national income
#> 96 Capital share of total gross national income at factor-price
#> 97 Capital share of total national income at factor-price
#> 98 Labor share of national income
#> 99 Labor share of total gross national income at factor-price
#> 100 Labor share of total national income at factor-price
#> 101 Corporate wealth-to-income ratio
#> 102 Government wealth-to-income ratio
#> 103 Household wealth-to-income ratio
#> 104 Institutional wealth-to-income ratio
#> 105 Net national wealth-to-income ratio
#> 106 Private wealth-to-income ratio
#> 107 wealth-to-income ratio or labor/capital share# Validate before building
wid_validate(series_type = "s", concept = "ptinc", age = 992, pop = "j")
# Encode
code <- wid_encode("s", "ptinc", "992", "j")
code # "sptinc992j"
#> [1] "sptinc992j"
# Round-trip
identical(wid_encode(wid_decode(code)), code) # TRUE
#> [1] TRUE
# Non-throwing check
wid_is_valid(series_type = "Z") # FALSE
#> [1] FALSE
wid_is_valid(series_type = "s") # TRUE
#> [1] TRUEExchange rate series follow a distinct naming convention. The concept occupies the standard positions but carries a currency and direction suffix:
| Code | Description |
|---|---|
xlcusx999i |
LCU per USD (market) |
xlceup999i |
EUR per LCU (market) |
xlpppx999i |
LCU per USD (PPP) |
wid_convert() uses these internally. The age
999 (all ages) and pop i (individuals) are
standard for price/exchange indices, which have no distributional
meaning and are always retrieved at p0p100.
| Function | Purpose |
|---|---|
wid_decode(x) |
Parse code string into components |
wid_encode(type, concept, age, pop) |
Build code string from components |
wid_validate(...) |
Validate one or more components |
wid_is_valid(...) |
Non-throwing validation check |
wid_search(query, tables, type) |
Search lookup tables by regex |
wid_series_types |
Lookup table: series types |
wid_concepts |
Lookup table: concepts |
wid_ages |
Lookup table: age groups |
wid_pop_types |
Lookup table: population types |
wid_countries |
Lookup table: countries and regions |
wid_percentiles |
Lookup table: percentile codes |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.