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762dc673-29cb-4532-8c0a-0d850424a2a1:0 | RWA | Rwanda | 1 | GDP at current prices (Frw billions) | 720 | 806 | 871 | 935 | 1,150 | 1,372 | 1,637 | 1,806 | 2,198 | 2,800 | 3,184 | 3,529 | 4,084 | 4,642 | 4,988 | 5,548 | 6,081 | 6,768 | 7,621 | 8,310 | 9,461 | 9,892 | 11,125 | 14,164 | 17,177 | 19,918 | 23,387 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:1 | RWA | Rwanda | 2 | GDP Growth rate (current prices) | null | 0.119 | 0.081 | 0.073 | 0.23 | 0.194 | 0.193 | 0.104 | 0.217 | 0.274 | 0.137 | 0.108 | 0.157 | 0.137 | 0.075 | 0.112 | 0.096 | 0.113 | 0.126 | 0.09 | 0.138 | 0.046 | 0.125 | 0.273 | 0.213 | 0.16 | 0.174 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:2 | RWA | Rwanda | 3 | GDP at constant 2024 prices (Frw billions) | 2,066 | 3,642 | 3,951 | 4,473 | 4,571 | 4,912 | 5,372 | 5,868 | 6,316 | 7,021 | 7,460 | 8,007 | 8,644 | 9,391 | 9,834 | 10,392 | 11,313 | 11,954 | 12,516 | 13,526 | 14,782 | 14,372 | 15,580 | 17,111 | 18,576 | 19,918 | 21,786 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:3 | RWA | Rwanda | 4 | Growth rate (constant 2024 prices) | null | 0.084 | 0.085 | 0.132 | 0.022 | 0.074 | 0.094 | 0.092 | 0.076 | 0.112 | 0.062 | 0.073 | 0.08 | 0.086 | 0.047 | 0.057 | 0.089 | 0.057 | 0.047 | 0.081 | 0.093 | -0.028 | 0.084 | 0.098 | 0.086 | 0.072 | 0.094 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:4 | RWA | Rwanda | 5 | Implicit GDP deflator | 35 | 22 | 22 | 21 | 25 | 28 | 30 | 31 | 35 | 40 | 43 | 44 | 47 | 49 | 51 | 53 | 54 | 57 | 61 | 61 | 64 | 69 | 71 | 83 | 92 | 100 | 107 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:5 | RWA | Rwanda | 6 | Growth rate (GDP deflator) | null | 0.033 | -0.004 | -0.052 | 0.204 | 0.111 | 0.09 | 0.011 | 0.13 | 0.146 | 0.07 | 0.033 | 0.072 | 0.046 | 0.026 | 0.053 | 0.007 | 0.053 | 0.075 | 0.009 | 0.042 | 0.076 | 0.037 | 0.159 | 0.117 | 0.081 | 0.074 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:6 | RWA | Rwanda | 7 | GDP per head (in '000 Frw) | 96 | 104 | 110 | 115 | 138 | 160 | 187 | 201 | 238 | 296 | 328 | 354 | 400 | 443 | 465 | 505 | 540 | 587 | 645 | 687 | 765 | 781 | 859 | 1,069 | 1,267 | 1,438 | 1,652 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:7 | RWA | Rwanda | 8 | GDP per head (in current US dollars) | 287 | 268 | 248 | 242 | 256 | 279 | 335 | 364 | 435 | 541 | 577 | 607 | 666 | 721 | 719 | 739 | 750 | 745 | 776 | 798 | 850 | 828 | 868 | 1,037 | 1,093 | 1,091 | 1,156 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:8 | RWA | Rwanda | 9 | Total final consumption expenditure: Government (proportion of GDP) | 0.16 | 0.16 | 0.17 | 0.17 | 0.17 | 0.17 | 0.17 | 0.16 | 0.14 | 0.12 | 0.13 | 0.13 | 0.12 | 0.13 | 0.13 | 0.14 | 0.14 | 0.15 | 0.15 | 0.14 | 0.15 | 0.15 | 0.18 | 0.17 | 0.16 | 0.17 | 0.15 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:9 | RWA | Rwanda | 10 | Total final consumption expenditure: Private (proportion of GDP) | 0.88 | 0.71 | 0.67 | 0.67 | 0.65 | 0.59 | 0.58 | 0.8 | 0.77 | 0.81 | 0.82 | 0.82 | 0.81 | 0.8 | 0.78 | 0.78 | 0.8 | 0.77 | 0.73 | 0.73 | 0.68 | 0.74 | 0.68 | 0.62 | 0.65 | 0.63 | 0.64 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:10 | RWA | Rwanda | 11 | Gross capital formation (proportion of GDP) | 0.12 | 0.34 | 0.35 | 0.34 | 0.35 | 0.41 | 0.43 | 0.15 | 0.17 | 0.22 | 0.21 | 0.21 | 0.21 | 0.24 | 0.25 | 0.24 | 0.25 | 0.26 | 0.24 | 0.18 | 0.22 | 0.18 | 0.36 | 0.38 | 0.38 | 0.35 | 0.34 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:11 | RWA | Rwanda | 12 | Resource balance (proportion of GDP) | -0.17 | -0.21 | -0.19 | -0.19 | -0.18 | -0.17 | -0.18 | -0.11 | -0.09 | -0.15 | -0.16 | -0.16 | -0.15 | -0.17 | -0.16 | -0.16 | -0.19 | -0.19 | -0.13 | -0.05 | -0.05 | -0.07 | -0.21 | -0.17 | -0.19 | -0.15 | -0.14 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:12 | RWA | Rwanda | 13 | Value added by Agriculture (proportion of GDP) | 0.32 | 0.31 | 0.32 | 0.3 | 0.33 | 0.34 | 0.34 | 0.29 | 0.25 | 0.24 | 0.24 | 0.23 | 0.23 | 0.24 | 0.24 | 0.24 | 0.23 | 0.24 | 0.26 | 0.23 | 0.22 | 0.24 | 0.21 | 0.22 | 0.23 | 0.21 | 0.2 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:13 | RWA | Rwanda | 14 | Value added by Industry (proportion of GDP) | 0.18 | 0.17 | 0.16 | 0.16 | 0.14 | 0.15 | 0.15 | 0.16 | 0.17 | 0.16 | 0.16 | 0.17 | 0.18 | 0.18 | 0.18 | 0.18 | 0.18 | 0.17 | 0.17 | 0.18 | 0.19 | 0.19 | 0.21 | 0.22 | 0.21 | 0.22 | 0.22 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:14 | RWA | Rwanda | 15 | Value added by Services (proportion of GDP) | 0.42 | 0.44 | 0.43 | 0.44 | 0.44 | 0.42 | 0.43 | 0.46 | 0.49 | 0.5 | 0.5 | 0.5 | 0.48 | 0.49 | 0.5 | 0.5 | 0.5 | 0.5 | 0.48 | 0.51 | 0.51 | 0.49 | 0.52 | 0.51 | 0.5 | 0.52 | 0.52 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:15 | RWA | Rwanda | 16 | Value added by Adjustments (proportion of GDP) | 0.08 | 0.08 | 0.08 | 0.09 | 0.09 | 0.09 | 0.09 | 0.09 | 0.09 | 0.1 | 0.1 | 0.1 | 0.1 | 0.08 | 0.08 | 0.09 | 0.09 | 0.09 | 0.09 | 0.08 | 0.08 | 0.08 | 0.06 | 0.05 | 0.05 | 0.05 | 0.05 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:16 | RWA | Rwanda | 17 | Gross Domestic Product at current prices (Frw billions) | 720 | 806 | 871 | 935 | 1,150 | 1,372 | 1,637 | 1,806 | 2,198 | 2,800 | 3,184 | 3,529 | 4,084 | 4,642 | 4,988 | 5,548 | 6,081 | 6,768 | 7,621 | 8,310 | 9,461 | 9,892 | 11,125 | 14,164 | 17,177 | 19,918 | 23,387 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:17 | RWA | Rwanda | 18 | Factor income from abroad, net (Frw billions) | -4 | -6 | -10 | -9 | -16 | -19 | -15 | -16 | -9 | -20 | -21 | -30 | -34 | -63 | -85 | -129 | -117 | -188 | -242 | -296 | -296 | -188 | -174 | -250 | -320 | -450 | -516 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:18 | RWA | Rwanda | 19 | Gross National Income (Frw billions) | 717 | 800 | 861 | 926 | 1,134 | 1,353 | 1,622 | 1,790 | 2,188 | 2,780 | 3,163 | 3,499 | 4,049 | 4,579 | 4,903 | 5,419 | 5,964 | 6,580 | 7,378 | 8,013 | 9,164 | 9,704 | 10,951 | 13,914 | 16,857 | 19,468 | 22,872 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:19 | RWA | Rwanda | 20 | Current transfers, net (Frw billions) | 60 | 81 | 76 | 81 | 105 | 160 | 177 | 180 | 252 | 284 | 341 | 339 | 479 | 388 | 479 | 395 | 267 | 271 | 496 | 575 | 524 | 586 | 748 | 1,009 | 1,030 | 1,028 | 1,102 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:20 | RWA | Rwanda | 21 | Gross National Disposible Income (Frw billions) | 777 | 881 | 937 | 1,007 | 1,239 | 1,513 | 1,799 | 1,970 | 2,441 | 3,064 | 3,504 | 3,838 | 4,528 | 4,967 | 5,382 | 5,814 | 6,231 | 6,851 | 7,875 | 8,589 | 9,688 | 10,290 | 11,699 | 14,923 | 17,887 | 20,496 | 23,973 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:21 | RWA | Rwanda | 22 | Less Final consumption expenditure (Frw billions) | -753 | -702 | -724 | -792 | -951 | -1,045 | -1,230 | -1,737 | -2,016 | -2,621 | -3,023 | -3,361 | -3,817 | -4,323 | -4,548 | -5,150 | -5,743 | -6,271 | -6,756 | -7,213 | -7,868 | -8,787 | -9,474 | -11,275 | -13,935 | -15,959 | -18,578 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:22 | RWA | Rwanda | 23 | Gross National Saving (Frw billions) | 24 | 179 | 213 | 215 | 288 | 468 | 569 | 232 | 425 | 442 | 481 | 477 | 712 | 644 | 834 | 664 | 489 | 580 | 1,119 | 1,376 | 1,820 | 1,503 | 2,225 | 3,648 | 3,951 | 4,537 | 5,395 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:23 | RWA | Rwanda | 24 | Less Gross capital formation (Frw billions) | -86 | -272 | -309 | -322 | -407 | -565 | -696 | -275 | -373 | -605 | -678 | -734 | -863 | -1,096 | -1,234 | -1,306 | -1,491 | -1,773 | -1,836 | -1,488 | -2,049 | -1,799 | -4,013 | -5,348 | -6,590 | -6,916 | -7,981 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:24 | RWA | Rwanda | 25 | Net lending to the rest of the world (Frw billions) | -62 | -93 | -96 | -107 | -119 | -97 | -127 | -43 | 52 | -163 | -197 | -257 | -151 | -452 | -400 | -642 | -1,002 | -1,193 | -717 | -112 | -230 | -296 | -1,788 | -1,700 | -2,638 | -2,379 | -2,586 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:25 | RWA | Rwanda | 26 | Total population (millions) | 7.5 | 7.7 | 7.9 | 8.1 | 8.3 | 8.6 | 8.8 | 9 | 9.2 | 9.5 | 9.7 | 10 | 10.2 | 10.5 | 10.7 | 11 | 11.3 | 11.5 | 11.8 | 12.1 | 12.4 | 12.7 | 13 | 13.3 | 13.6 | 13.9 | 14.2 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:26 | RWA | Rwanda | 27 | Growth rate (population) | null | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.026 | 0.024 | 0.024 | 0.024 | 0.024 | 0.024 | 0.024 | 0.024 | 0.023 | 0.023 | 0.023 | 0.023 | 0.022 | 0.022 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:27 | RWA | Rwanda | 28 | Exchange rate: Frw per US dollar | 334 | 390 | 443 | 475 | 538 | 575 | 557 | 552 | 547 | 547 | 568 | 583 | 600 | 614 | 647 | 683 | 720 | 787 | 832 | 861 | 899 | 943 | 989 | 1,031 | 1,160 | 1,318 | 1,428 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
762dc673-29cb-4532-8c0a-0d850424a2a1:28 | RWA | Rwanda | 29 | Growth rate (exchange rate) | null | 0.17 | 0.14 | 0.07 | 0.13 | 0.07 | -0.03 | -0.01 | -0.01 | 0 | 0.04 | 0.03 | 0.03 | 0.02 | 0.05 | 0.06 | 0.05 | 0.09 | 0.06 | 0.04 | 0.04 | 0.05 | 0.05 | 0.04 | 0.13 | 0.14 | 0.08 | NISR | Macro-economic aggregates (GDP National Accounts) (2025) | table_a | 762dc673-29cb-4532-8c0a-0d850424a2a1 | 762dc673-29cb-4532-8c0a-0d850424a2a1 | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv | cc-by-4.0 | 2026-07-18T11:48:51Z |
Macro-economic aggregates (GDP National Accounts) (2025) | Africa (Rwanda Data Sharing Platform - NISR)
29 rows - 1 Africa country - 2025-01-01-2025-12-31 - Repackaged by Electric Sheep Africa
TL;DR
This dataset packages one public table from Rwanda's official Data Sharing Platform as ML-ready Parquet. The source package is the provenance boundary: all usable source columns from this table stay together in this repo.
About the source
- Source: Macro-economic aggregates (GDP National Accounts) (2025)
- Publisher: NISR
- Portal: Rwanda Data Sharing Platform
- Dataset ID:
762dc673-29cb-4532-8c0a-0d850424a2a1 - Schema:
GDP_National_Accounts_2025_Annual - Table:
table_a - Sectors: National Statistics, Economy and Finance
- Source tags: Aggregated data
- Period: 2025-01-01-2025-12-31
- Resource: CSV package
- License: CC BY 4.0
- Packaging mode:
tabular_resource
Source description
Summary: This aggregated data table contains data on macro-economic aggregates, including Gross Domestic Product (GDP), proportions of GDP, national income and expenditure, and memorandum items. It is a part of the Gross Domestic Product (GDP) National Accounts 2025 Annual Report, which contains information on macro-economic aggregates including GDP by activity and expenditure breakdowns. Geographic Coverage: National (Rwanda) Time Period: January to December 2025 Frequency: Annual Population/Units: The unit of analysis is the national economy. Figures are given in billion RWF and in percentages. Key Variables: Macro-economic aggregates Purpose: This data supports macro-economic decision-making and a big-picture understanding of the national economy. Data Quality Notes: This report uses aggregates from multiple data sources. Data quality information is specific to each source.
Geographic coverage
1 Africa country:
| Country | Rows | First year | Last year | Name |
|---|---|---|---|---|
RWA |
29 | n/a | n/a | Rwanda |
Indicators or Resource Contents
- This source package is published as a normalized tabular resource.
Schema
| Column | Type | Description | Example |
|---|---|---|---|
source_record_id |
string |
Stable row identifier assigned during Electric Sheep Africa packaging. | 762dc673-29cb-4532-8c0a-0d850424a2a1:0 |
country_iso3 |
string |
ISO3 country code. | RWA |
country_name |
string |
Country name. | Rwanda |
id |
int64 |
Row ID | 1 |
macro_economic_aggregates |
string |
Macro-economic aggregates | GDP at current prices (Frw billions) |
col_1999 |
float64 |
1999 | 720.0 |
col_2000 |
float64 |
2000 | 806.0 |
col_2001 |
float64 |
2001 | 871.0 |
col_2002 |
float64 |
2002 | 935.0 |
col_2003 |
float64 |
2003 | 1150.0 |
col_2004 |
float64 |
2004 | 1372.0 |
col_2005 |
float64 |
2005 | 1637.0 |
col_2006 |
float64 |
2006 | 1806.0 |
col_2007 |
float64 |
2007 | 2198.0 |
col_2008 |
float64 |
2008 | 2800.0 |
col_2009 |
float64 |
2009 | 3184.0 |
col_2010 |
float64 |
2010 | 3529.0 |
col_2011 |
float64 |
2011 | 4084.0 |
col_2012 |
float64 |
2012 | 4642.0 |
col_2013 |
float64 |
2013 | 4988.0 |
col_2014 |
float64 |
2014 | 5548.0 |
col_2015 |
float64 |
2015 | 6081.0 |
col_2016 |
float64 |
2016 | 6768.0 |
col_2017 |
float64 |
2017 | 7621.0 |
col_2018 |
float64 |
2018 | 8310.0 |
col_2019 |
float64 |
2019 | 9461.0 |
col_2020 |
float64 |
2020 | 9892.0 |
col_2021 |
float64 |
2021 | 11125.0 |
col_2022 |
float64 |
2022 | 14164.0 |
col_2023 |
float64 |
2023 | 17177.0 |
col_2024 |
float64 |
2024 | 19918.0 |
col_2025 |
float64 |
2025 | 23387.0 |
source_provider |
string |
Publishing organization. | NISR |
source_dataset |
string |
Source dataset title. | Macro-economic aggregates (GDP National Accounts) (2025) |
source_resource |
string |
Source table name. | table_a |
source_package_id |
string |
Rwanda Data Sharing Platform dataset UUID. | 762dc673-29cb-4532-8c0a-0d850424a2a1 |
source_resource_id |
string |
Rwanda Data Sharing Platform dataset UUID. | 762dc673-29cb-4532-8c0a-0d850424a2a1 |
source_url |
string |
Original source download URL. | https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-... |
license_id |
string |
Source license identifier. | cc-by-4.0 |
retrieved_at |
string |
UTC retrieval timestamp. | 2026-07-18T11:48:51Z |
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-rwanda-macro-economic-aggregates-gdp-national-accounts-2025-b364465a")
df = ds["train"].to_pandas()
print(df.head())
Filter to Rwanda
rwanda = df[df["country_iso3"] == "RWA"]
Work with indicators
if "indicator_id" in df.columns:
print(df["indicator_id"].value_counts().head())
sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
Citation
@misc{electric_sheep_africa_africa_rwanda_macro_economic_aggregates_gdp_national_accounts_2025_b364465a_2026,
title = {Macro-economic aggregates (GDP National Accounts) (2025) | Africa (Rwanda Data Sharing Platform - NISR)},
author = {NISR},
year = {2026},
url = {https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-rwanda-macro-economic-aggregates-gdp-national-accounts-2025-b364465a}}
}
License
Released under CC BY 4.0.
Original data (c) NISR. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.
About Electric Sheep
Electric Sheep Africa is part of the Electric Sheep mission: a unified,
ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
open sources, normalize the schemas, package as Parquet, and publish with
consistent dataset cards so researchers and developers can use load_dataset()
to start working in seconds.
Browse the full collection: huggingface.co/electricsheepafrica
Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL: https://api.data.gov.rw/api/v1/datasets/public/762dc673-29cb-4532-8c0a-0d850424a2a1/download?format=csv
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