Value (M)
Time Available: 2015-M-01 - 2026-M-07 (Nowcast)
Time Available: 2015-M-01 - 2026-M-07 (Nowcast)
Data Summary: Bangladesh, Wood + Furniture Industry, Production - Volume Index, Index Value (M)
| Time Period | Value | Data Range |
|---|---|---|
| 2016-M-07 | 86,74 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-08 | 86,96 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-09 | 87,20 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-10 | 88,86 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-11 | 89,82 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2016-M-12 | 89,82 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-01 | 89,37 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-02 | 90,33 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-03 | 91,70 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-04 | 92,01 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-05 | 93,27 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-06 | 91,91 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-07 | 96,24 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-08 | 99,01 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-09 | 90,89 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-10 | 99,90 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-11 | 113,04 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2017-M-12 | 100,83 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-01 | 106,71 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-02 | 98,58 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-03 | 99,54 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-04 | 100,55 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-05 | 109,67 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-06 | 106,60 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-07 | 105,81 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-08 | 106,67 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-09 | 105,11 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-10 | 100,92 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-11 | 105,95 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2018-M-12 | 106,59 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-01 | 106,75 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-02 | 108,13 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-03 | 107,16 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-04 | 107,85 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-05 | 109,29 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-06 | 109,38 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-07 | 109,48 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-08 | 110,18 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-09 | 109,87 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-10 | 103,53 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-11 | 102,42 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2019-M-12 | 102,24 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-01 | 100,75 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-02 | 107,81 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-03 | 96,21 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-04 | 86,00 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-05 | 94,12 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-06 | 102,61 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-07 | 97,25 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-08 | 93,03 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-09 | 94,40 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-10 | 106,53 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-11 | 107,65 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2020-M-12 | 113,66 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-01 | 114,38 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-02 | 109,16 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-03 | 115,53 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-04 | 113,92 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-05 | 115,09 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-06 | 111,02 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-07 | 108,04 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-08 | 101,15 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-09 | 106,01 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-10 | 103,77 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-11 | 104,45 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2021-M-12 | 107,85 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-01 | 107,79 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-02 | 105,39 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-03 | 107,94 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-04 | 105,91 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-05 | 100,41 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-06 | 101,04 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-07 | 103,56 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-08 | 99,49 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-09 | 103,92 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-10 | 109,87 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-11 | 108,97 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2022-M-12 | 107,80 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-01 | 110,40 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-02 | 116,05 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-03 | 114,74 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-04 | 118,52 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-05 | 109,78 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-06 | 110,24 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-07 | 120,37 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-08 | 124,01 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-09 | 113,72 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-10 | 110,48 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-11 | 103,46 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2023-M-12 | 110,08 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-01 | 115,89 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-02 | 105,00 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-03 | 108,43 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-04 | 102,61 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-05 | 106,66 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-06 | 115,44 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-07 | 116,31 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-08 | 116,38 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-09 | 114,14 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-10 | 118,30 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-11 | 122,01 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2024-M-12 | 119,51 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-01 | 117,78 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-02 | 114,66 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-03 | 110,71 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-04 | 112,51 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-05 | 110,93 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-06 | 119,91 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-07 | 121,18 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-08 | 122,37 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-09 | 111,32 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-10 | 124,27 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-11 | 126,94 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2025-M-12 | 124,31 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-01 | 121,20 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-02 | 121,65 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-03 | 117,31 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-04 | 117,44 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-05 | 117,44 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-06 | 117,44 | 2015-M-01 - 2026-M-07 (Nowcast) |
| 2026-M-07 (Nowcast) | 117,44 | 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 86.00, Maximum value 126.94, Average value 107.10.
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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
- Bangladesh
- Industry
- Wood + Furniture Industry
- Indicator
- Production - Volume 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 86.00 to 126.94, with an average value of 107.10.
The data shows an overall upward trend with a total change of 30.69 (35.4% increase) over the analyzed period.
Key analytical dimensions include: Bangladesh, Wood + Furniture Industry, Production - Volume Index, Index Value (M). This multi-dimensional analysis provides comprehensive insights into the underlying data patterns and trends.