World Bank · Financial Sector
Global leasing volume to GDP
Ratios calculated by source.
- Coverage
- 75 of 238 countries
- Latest data
- 2019
- Series
- 75
- Unit
- percent
- Licence
- CC BY 4.0
- Retrieved
- 2026-11-05
- Indicator
- global-leasing-volume-to-gdp
- Interva ID
- worldbank-global-leasing-volume-to-gdp
Recency
stale
data to 2019; catalog to 2025
Provenance
2 steps
as the publisher declares it
Versions
1
catalog snapshots
Citation
BibTeX + CSL
versioned permalink
Quality profile
This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.
Recency
0%Latest observation is 2019; the catalog broadly reports to 2025, so this data is 6 year(s) behind (stale).
Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.
Temporal completeness
100%10 of 75 series skip at least one year inside their own span; the median series reports 100% of its years.
Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.
Geographic coverage
MeasuredCovers 75 of the 238 countries in the catalog.
Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.
History depth
MeasuredThe median series has 15 observations; the earliest begins in 2004.
Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.
Revisions
MeasuredNo observation has been restated in any vintage Interva has recorded.
Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.
Schema conformity
Not assessedNo declared schema or validation rules are attached to this dataset yet.
Validity
Not assessedNo field-level validation rules are attached to this dataset yet.
Consistency
Not assessedCross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.
2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-07.
By country
Global leasing volume to GDP for each of the 75 countries it covers, with the full history.
- Algeria 2006–2006
- Argentina 2004–2018
- Australia 2004–2019
- Austria 2004–2019
- Bahrain 2006–2006
- Belgium 2004–2019
- Brazil 2004–2019
- Bulgaria 2007–2019
- Canada 2004–2019
- Chile 2004–2019
- China 2004–2019
- Colombia 2004–2019
- Costa Rica 2004–2004
- Croatia 2019–2019
- Cyprus 2011–2012
- Czechia 2004–2019
- Denmark 2004–2019
- Djibouti 2004–2008
- Ecuador 2009–2011
- Egypt 2005–2019
- Estonia 2004–2019
- Finland 2004–2019
- France 2004–2019
- Germany 2004–2019
- Greece 2004–2019
- Hong Kong 2004–2018
- Hungary 2004–2019
- India 2004–2019
- Iran, Islamic Republic of 2005–2019
- Ireland 2004–2012
- Italy 2004–2019
- Japan 2004–2019
- Jordan 2008–2008
- Kazakhstan 2006–2012
- Kenya 2019–2019
- Korea, Republic of 2004–2019
- Kuwait 2007–2007
- Latvia 2006–2019
- Lebanon 2005–2005
- Libya 2004–2008
- Lithuania 2007–2019
- Luxembourg 2004–2011
- Malaysia 2004–2019
- Mexico 2004–2019
- Morocco 2004–2019
- Netherlands 2004–2019
- New Zealand 2004–2015
- Nigeria 2004–2019
- Norway 2004–2019
- Oman 2007–2007
- Pakistan 2004–2004
- Peru 2004–2019
- Philippines 2009–2011
- Poland 2004–2019
- Portugal 2004–2019
- Qatar 2007–2007
- Romania 2013–2018
- Russian Federation 2004–2019
- Saudi Arabia 2004–2007
- Slovakia 2004–2019
- Slovenia 2004–2019
- South Africa 2004–2019
- Spain 2004–2019
- Sri Lanka 2004–2006
- Sweden 2004–2019
- Switzerland 2004–2019
- Syrian Arab Republic 2004–2008
- Tunisia 2005–2005
- Türkiye 2004–2019
- Ukraine 2006–2019
- United Arab Emirates 2005–2005
- United Kingdom 2004–2019
- United States 2004–2019
- Uzbekistan 2011–2016
- Venezuela, Bolivarian Republic of 2008–2012
Latest observations
| Country | Period | Value | Unit |
|---|---|---|---|
| Australia | 2019 | 1.97 | percent |
| Austria | 2019 | 2.25 | percent |
| Belgium | 2019 | 1.50 | percent |
| Brazil | 2019 | 0.23 | percent |
| Bulgaria | 2019 | 2.05 | percent |
| Canada | 2019 | 1.54 | percent |
| Chile | 2019 | 1.57 | percent |
| China | 2019 | 1.71 | percent |
| Colombia | 2019 | 1.01 | percent |
| Croatia | 2019 | 2.55 | percent |
Provenance
Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.
Produced by
Not named — the declaration is kept verbatim
White Clarke Global Leasing Report
declared by worldbank in sourceOrganization
Read from
World Bank
Global Financial Development
declared by worldbank in source
Versions
A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.
- CurrentCurrent catalog snapshotchecksum not recorded
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Citation
Version: catalog snapshot 2026-11-05. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.
World Bank (2026). Global leasing volume to GDP. Interva. https://interva.co/dataset/worldbank-global-leasing-volume-to-gdp (accessed 2026-11-07). catalog snapshot 2026-11-05.
@misc{interva-worldbank-global-leasing-volume-to-gdp,
title = {Global leasing volume to GDP},
author = {World Bank},
year = {2026},
howpublished = {\url{https://interva.co/dataset/worldbank-global-leasing-volume-to-gdp}},
note = {Interva dataset worldbank-global-leasing-volume-to-gdp; catalog snapshot 2026-11-05},
urldate = {2026-11-07}
}DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.
API access
Every fact on this page is available from the API.
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-global-leasing-volume-to-gdpcurl -o worldbank-global-leasing-volume-to-gdp.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-global-leasing-volume-to-gdp/downloadcurl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-global-leasing-volume-to-gdp/citation?accessed=YYYY-MM-DD"curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-global-leasing-volume-to-gdp/qualityFull schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs
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