Country Data Improvement Program

Loqate have created a unique process that will bring together and combine multiple expert sources to create one best record in the address and location hierarchy. We call this process the Persistent Data Hierarchy, or PDH.

A country dataset improved using the PDH process enhances reliability, improves the speed and quality of its global location data, creates consistency, adds normalization, and resolves data errors.

How it works

  1. Loqate will scout and evaluate the best sources for address and location data
  2. Using our home-grown, expert system, the data is scanned and mapped into a standardized hierarchy
  3. The completed dataset will then be exported for use across all Loqate products

Benefits of a single hierarchy

The PDH process benefits customers in two ways: completeness and coverage. By blending multiple sources, the improvement process will complete missing fields, resolve component-level conflicts, and bring consistency and alignment across the regional hierarchy.

For example, one source may state a value as a city, whereas another will identify it as a Village or smaller regional boundary. The PDH software will resolve this, and also enrich or fill any gaps that may be unique to each source.

Coverage is is measured by the number of delivery-point records, which is maximized by having more sources. This is dependent on the quality of data already available in the market for each country.

Coverage status

Listed below are all countries that have completed the country improvement process – please click on a country name for more details. Beyond this list, Loqate continue to provide address verification and geocoding for all other countries. 

Completed countries

Country Date PDH Completed Verification Level
ISRAEL 2019-11 L4
BELGIUM 2019-10 L4+
GREECE 2019-10 L4
INDIA 2019-10 L4
TURKEY 2019-10 L4
ARGENTINA 2019-07 L4
COLOMBIA 2019-07 L4
ITALY 2019-07 L4
THAILAND 2019-07 L4
SAN MARINO 2019-07 L4
SINT MAARTEN 2019-07 L4
HAITI 2019-07 L2
NICARAGUA 2019-07 L2
QATAR 2019-07 L4
UNITED ARAB EMIRATES 2019-07 L4
KOREA, REPUBLIC OF 2019-04 L4
PERU 2019-04 L4
PORTUGAL 2019-04 L4
SPAIN 2019-04 L4
MALAYSIA 2019-04 L4
PHILIPPINES 2019-04 L4
URUGUAY 2019-04 L4
ISLE OF MAN 2019-04 L5
GUERNSEY 2019-04 L5
JERSEY 2019-04 L5
LITHUANIA 2019-04 L4
SOUTH AFRICA 2018-10 L4
AUSTRIA 2018-10 L4
SINGAPORE 2018-10 L4
BRAZIL 2018-07 L4
MEXICO 2018-07 L4
CZECH REPUBLIC 2018-04 L4
UNITED STATES 2018-01 L5
JAPAN 2018-01 L4
DENMARK 2018-01 L5
NORWAY 2018-01 L4
GERMANY 2017-11 L4
NETHERLANDS 2017-10 L4
NEW ZEALAND 2017-10 L5
FRENCH POLYNESIA 2017-10 L3
FRANCE 2017-07 L4
SWEDEN 2017-07 L4
CANADA 2017-04 L5
AUSTRALIA 2017-04 L5
SWITZERLAND 2017-01 L4
FINLAND 2017-01 L4
EGYPT 2017-01 L4
ANDORRA 2017-01 L4
ECUADOR 2017-01 L4

Measuring improvement

Country improvement statistics for each of the new countries in this release will be available on the website shortly.

The uplift range describes the improvements made by the PDH process. For example, you may see a record returning a level 2 (locality level) prior to PDH and a level 4 (premise level) after PDH; these types of changes demonstrate a positive improvement due to better alignment and cleaner structures in the reference data.

In cases where a record does the opposite, the enhanced dataset may be resolving a previously incorrect or false result.

These changes are dependent on the amount of sample data available.

Coverage & Completeness

For countries using existing data sources, these are unlikely to show any big changes to the total number of deliverable records. Many improvements in datasets will be based around field/value alignments and corrections to the geography hierarchy.