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 |