Where economic indicators come from: producers, standards and release calendars

What an indicator is, and why lenders read them

An economic indicator is a statistic measured the same way, period after period, so that its changes can be followed: the consumer price index, gross domestic product, the unemployment rate, the current account balance. Each describes the whole economy rather than any one borrower, but each reaches borrowers. Prices change what households can spend on repayments, growth changes incomes and sales, and the exchange rate changes what a loan in foreign currency costs.

This course takes five questions in turn: where indicators come from, inflation, growth, the external balance, and how to read them together. The course Household finances: prices, rates and wages, and what borrowers can repay applies the same statistics to households.

Who produces the numbers

In most markets three kinds of public body produce the main indicators. The national statistics office compiles prices, national accounts such as GDP, and labour statistics, from surveys and administrative records. The central bank usually compiles money, credit and interest rates, and in some markets the balance of payments. The ministry of finance publishes government revenue, spending and debt. Which body publishes which statistic differs by market, so the first step with any number is to find its producer and its definition.

Producers of official statistics work to shared principles. The United Nations Fundamental Principles of Official Statistics, adopted by the UN Statistical Commission in 1994 and endorsed by the General Assembly in 2014, state that official statistics that meet the test of practical utility are to be compiled and made available on an impartial basis; that statistical agencies are to decide on methods according to strictly professional considerations; that they are to present information on the sources, methods and procedures of the statistics; that individual data are to be strictly confidential and used exclusively for statistical purposes; and that the use of international concepts, classifications and methods promotes the consistency and efficiency of statistical systems.

Data standards and the release calendar

The International Monetary Fund runs data dissemination standards in three tiers of increasing stringency: the enhanced General Data Dissemination System, introduced in 2015; the Special Data Dissemination Standard, introduced in 1996; and the Special Data Dissemination Standard Plus, introduced in 2012. The IMF reports that 112 countries participated in the first tier at the end of 2022.

The Special Data Dissemination Standard sets practical rules that help any reader. Its guide asks subscribers to publish an advance release calendar giving release dates for the current month and at least the following three months, to release the data to all interested parties simultaneously, to disseminate the terms and conditions under which official statistics are produced, and to provide information about revision and advance notice of major changes in methodology. It prescribes national accounts data on a quarterly basis, and price indices monthly, with a lag of no more than one month after the reference date.

For a lender, a release calendar means that the dates of the next inflation or GDP figures are known in advance, and simultaneous release means that no reader receives them earlier than another.

How statistical systems compare across regions

The World Bank measures the performance of national statistical systems with its Statistical Performance Indicators: an overall score from 0 to 100 built from five pillars, data use, data services, data products, data sources and data infrastructure. Its 2025 update, published in November 2025, gives an overall score for 188 economies and updates the data through 2024.

By region, on unweighted averages of country scores, the update ranks North America and Europe and Central Asia highest, with East Asia and the Pacific and Latin America and the Caribbean each averaging above 70. South Asia, the Middle East and North Africa, and Sub-Saharan Africa are the three lowest, and Sub-Saharan Africa trails the top region by more than 30 points. Among the pillars, data sources had the lowest average score in 2024, 56.8, against 81.3 for data use.

The World Bank notes that weighting by population changes the order: East Asia and the Pacific then falls below South Asia. A regional average also says little about any one market. The World Bank's East Asia and Pacific region groups Southeast Asia with China, Japan, Australia and the Pacific island states, among others, so its average cannot show how far markets within Southeast Asia differ from one another. A reader therefore checks each market's own producer, release calendar and revision practice, rather than assuming the regional picture.

Reading a release: changes and revisions

Many indicators are reported as a change rather than a level. A change on the same period a year earlier sets each month or quarter against the same season, so that patterns such as harvests or festival spending do not distort the comparison:

Year-on-year growth = (value this period − value in the same period a year earlier) ÷ value in the same period a year earlier × 100

A worked example with illustrative numbers. A statistics office publishes a first estimate of quarterly GDP at constant prices of 210 billion in the local currency, against 200 billion in the same quarter a year earlier. Growth is 210 minus 200, divided by 200, times 100: 5.0 percent. Three months later, with fuller survey and tax data, the estimate for the quarter is revised to 209.2 billion. Growth becomes 209.2 minus 200, divided by 200, times 100: 4.6 percent. A lender that planned on 5.0 percent growth made no mistake; it used an estimate, and revision is part of how the statistic is made.

Two habits follow. Note whether a figure is preliminary or revised, and read the information about revisions that the producer publishes. And when comparing two periods or two markets, use figures on the same definition, for example GDP at constant prices in both, or consumer prices for the whole country in both.

Reading indicators as a lender

• Before using a number, find who published it, what it measures, and whether it is a level or a change.
• Use the release calendar to know when the next figure is due, and time reviews of budgets and credit policy around it.
• Treat first estimates as estimates, and record which figure a decision was based on.
• Compare markets only on the same measure, definition and year, preferably from an international dataset, and say which regional aggregate is used and what it includes.
• Take current values from the published research pages with their release dates, rather than from dated examples in a course.