Value (M)
Time Available: 2015-M-01 - 2026-M-07 (Nowcast)
Time Available: 2015-M-01 - 2026-M-07 (Nowcast)
Data Summary: Malawi, Wood + Furniture Industry, Global Trade - Value Index, Index Value (M)
| Time Period | Value | Data Range |
|---|---|---|
| 2016-M-07 | 151,66 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-08 | 149,11 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-09 | 84,52 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-10 | 99,12 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-11 | 87,46 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-12 | 96,06 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-01 | 68,53 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-02 | 63,29 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-03 | 78,75 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-04 | 112,02 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-05 | 152,68 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-06 | 112,22 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-07 | 92,42 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-08 | 95,35 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-09 | 77,11 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-10 | 93,18 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-11 | 99,29 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-12 | 79,63 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-01 | 101,34 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-02 | 149,73 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-03 | 123,25 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-04 | 107,68 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-05 | 153,74 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-06 | 152,21 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-07 | 110,91 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-08 | 146,57 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-09 | 121,98 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-10 | 106,15 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-11 | 166,89 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-12 | 121,39 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-01 | 56,99 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-02 | 90,39 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-03 | 88,74 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-04 | 69,75 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-05 | 129,22 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-06 | 80,73 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-07 | 90,47 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-08 | 67,10 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-09 | 111,15 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-10 | 92,64 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-11 | 101,60 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-12 | 65,14 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-01 | 95,76 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-02 | 77,65 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-03 | 80,17 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-04 | 47,28 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-05 | 76,59 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-06 | 102,05 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-07 | 98,48 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-08 | 106,19 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-09 | 98,87 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-10 | 136,10 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-11 | 164,92 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-12 | 153,87 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-01 | 140,32 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-02 | 115,20 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-03 | 152,41 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-04 | 146,43 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-05 | 128,03 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-06 | 133,18 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-07 | 131,15 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-08 | 151,98 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-09 | 202,79 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-10 | 140,63 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-11 | 133,50 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-12 | 203,69 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-01 | 117,29 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-02 | 107,24 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-03 | 118,65 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-04 | 101,79 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-05 | 153,38 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-06 | 138,60 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-07 | 121,03 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-08 | 163,60 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-09 | 151,67 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-10 | 151,92 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-11 | 129,75 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-12 | 134,19 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-01 | 123,00 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-02 | 138,93 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-03 | 180,04 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-04 | 106,50 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-05 | 172,66 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-06 | 133,02 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-07 | 193,26 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-08 | 220,51 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-09 | 138,75 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-10 | 162,37 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-11 | 170,93 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-12 | 129,72 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-01 | 103,88 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-02 | 118,76 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-03 | 81,46 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-04 | 87,48 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-05 | 93,60 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-06 | 77,62 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-07 | 104,68 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-08 | 99,62 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-09 | 87,36 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-10 | 65,56 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-11 | 94,47 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-12 | 106,72 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-01 | 74,67 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-02 | 252,25 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-03 | 157,87 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-04 | 96,61 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-05 | 57,07 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-06 | 63,00 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-07 | 80,30 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-08 | 95,39 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-09 | 74,43 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-10 | 56,30 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-11 | 73,92 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-12 | 73,33 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-01 | 47,66 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-02 | 59,03 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-03 | 81,45 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-04 | 72,80 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-05 | 56,78 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-06 | 71,21 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-07 (Nowcast) | 72,88 | 2015-M-01 - 2026-M-07 (Nowcast) |
This dataset contains 121 data points spanning from 2016-M-07 to 2026-M-07 (Nowcast).
Analysis dimensions: Region, Industry, Indicator, Analysis.
Statistical summary: Minimum value 47.28, Maximum value 252.25, Average value 112.50.
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It represents one of many analytic models and visualization options available in One Space®.
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Metadata
- Solution
- Global Industry Intelligence
- Region
- Malawi
- Industry
- Wood + Furniture Industry
- Indicator
- Global Trade - Value Index
- Analysis
- Index Value (M)
- TIME (Displayed)
- 2016-M-07 - 2026-M-07 (Nowcast)
- TIME (Available)
- 2015-M-01 - 2026-M-07 (Nowcast)
Data Insights and Analysis
This comprehensive dataset spans 121 time periods from 2016-M-07 to 2026-M-07 (Nowcast). The analysis reveals values ranging from 47.28 to 252.25, with an average value of 112.50.
The data shows an overall downward trend with a total change of -78.78 (51.9% decrease) over the analyzed period.
Key analytical dimensions include: Malawi, Wood + Furniture Industry, Global Trade - Value Index, Index Value (M). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.