Indonesia retail sales MoM


Indonesia retail sales MoM: -2.5 (-247.06%)
Last Update: September 30, 2024

Indonesia retail sales MoM closed down -2.5 as of September 30, 2024 from 1.7 from the previous month and -1.5 from last year.


Indonesia retail sales MoM Analytics & Data




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Indonesia retail sales MoM

Date Values
2024-09-30 -2.5
2024-08-31 1.7
2024-07-31 -7.2
2024-06-30 0.4
2024-05-31 -3.5
2024-04-30 0.4
2024-03-31 9.9
2024-02-29 1.7
2024-01-31 -3.5
2023-12-31 4.9
2023-11-30 0.2
2023-10-31 3.2
2023-09-30 -1.5
2023-08-31 0.4
2023-07-31 -8.8
2023-06-30 -0.3
2023-05-31 -8
2023-04-30 12.8
2023-03-31 7
2023-02-28 -3.4
2023-01-31 -4.4
2022-12-31 7
2022-11-30 0.4
2022-10-31 2.3

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Indonesia retail sales MoM Statistics


Indicator Symbol Actual Previous M/M% Y/Y% Trend Slope Percentile Update
retail sales MoM id.retailsales -2.5 1.7 -247 67 Down Down 0 2024-09-30

Indonesia retail sales MoM Quantitative Analysis, Charts & Factors

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Indonesia retail sales MoM Historical Data

The MacroVar database offers free access to historical data for the Indonesia retail sales MoM, dating back to 1950. This extensive dataset is readily available through MacroVar versatile platforms, including a user-friendly web interface, a robust Python API, and convenient Excel integration. By leveraging these tools, users can efficiently retrieve and analyze decades of Indonesia retail sales MoM data, supporting a wide range of research, financial analysis, and decision-making processes.

What is the Indonesia retail sales MoM

Indonesia retail sales Month-over-Month (MoM) refers to the comparison of retail sales data from one month to the next. This data provides valuable insights into the overall health of the retail sector in Indonesia, as well as consumer spending habits and trends. By analyzing MoM retail sales figures, economists and policymakers can gauge the strength of the economy, identify areas of growth or decline, and make informed decisions about monetary policy and market interventions. Monitoring Indonesia's retail sales MoM is crucial for understanding the country's economic performance and forecasting future trends in consumer behavior.

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