Datasets:
Tasks:
Tabular Classification
Modalities:
Tabular
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
economics
wealthfork
computational-economics
wealth-inequality-income-distribution
emerging-terminology
License:
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id int64 1 200 | cohort int64 1 42 | return_dispersion float64 0.14 0.99 | capital_access_gap float64 0.15 0.83 | inheritance_flow float64 0.11 0.91 | savings_rate_gap float64 0.05 1 | asset_shock_exposure float64 0.12 0.92 | mobility_barrier float64 0.09 0.88 | redistribution_intensity float64 0.03 0.95 | wealthfork_index float64 0.25 0.73 |
|---|---|---|---|---|---|---|---|---|---|
1 | 25 | 0.373579 | 0.443636 | 0.327698 | 0.886634 | 0.407666 | 0.337967 | 0.376295 | 0.464738 |
2 | 35 | 0.759969 | 0.563316 | 0.557758 | 0.727035 | 0.524347 | 0.568082 | 0.318467 | 0.62549 |
3 | 1 | 0.539002 | 0.416383 | 0.433869 | 0.376853 | 0.666156 | 0.381474 | 0.701881 | 0.44872 |
4 | 21 | 0.697719 | 0.628986 | 0.401583 | 0.793109 | 0.428229 | 0.476378 | 0.397023 | 0.578107 |
5 | 14 | 0.606063 | 0.414675 | 0.7625 | 0.61979 | 0.500549 | 0.481909 | 0.684876 | 0.533541 |
6 | 31 | 0.451402 | 0.518939 | 0.646382 | 0.979796 | 0.426626 | 0.621457 | 0.121567 | 0.621202 |
7 | 35 | 0.779096 | 0.726852 | 0.310524 | 0.567904 | 0.630417 | 0.509289 | 0.417074 | 0.598121 |
8 | 37 | 0.768789 | 0.785482 | 0.398701 | 0.28481 | 0.614252 | 0.502504 | 0.574617 | 0.566413 |
9 | 7 | 0.649579 | 0.436143 | 0.386203 | 0.564944 | 0.61196 | 0.347902 | 0.626572 | 0.483734 |
10 | 41 | 0.367177 | 0.418365 | 0.770058 | 0.562283 | 0.338433 | 0.470492 | 0.483286 | 0.484242 |
11 | 40 | 0.772953 | 0.47381 | 0.800418 | 0.533655 | 0.418455 | 0.526192 | 0.200749 | 0.614845 |
12 | 13 | 0.733605 | 0.488482 | 0.556343 | 0.499505 | 0.483774 | 0.420876 | 0.444783 | 0.538719 |
13 | 7 | 0.594093 | 0.369861 | 0.552967 | 0.667637 | 0.480871 | 0.413833 | 0.295833 | 0.525378 |
14 | 22 | 0.421026 | 0.59489 | 0.631939 | 0.698523 | 0.474565 | 0.479942 | 0.707044 | 0.518193 |
15 | 38 | 0.885758 | 0.586794 | 0.57098 | 0.560168 | 0.503209 | 0.61366 | 0.241511 | 0.646636 |
16 | 30 | 0.633322 | 0.647442 | 0.595255 | 0.419406 | 0.533601 | 0.460294 | 0.033516 | 0.598529 |
17 | 12 | 0.791902 | 0.613899 | 0.457432 | 0.470418 | 0.664883 | 0.144548 | 0.43854 | 0.532595 |
18 | 10 | 0.463223 | 0.559128 | 0.46509 | 0.98511 | 0.64973 | 0.407594 | 0.954889 | 0.515043 |
19 | 11 | 0.640788 | 0.718566 | 0.780925 | 0.332575 | 0.638949 | 0.390193 | 0.561382 | 0.576889 |
20 | 32 | 0.744111 | 0.798824 | 0.838914 | 0.895698 | 0.511536 | 0.816989 | 0.668786 | 0.727884 |
21 | 21 | 0.833043 | 0.481802 | 0.674516 | 1 | 0.604194 | 0.549176 | 0.578054 | 0.65367 |
22 | 36 | 0.439544 | 0.300808 | 0.360905 | 0.696305 | 0.18785 | 0.438872 | 0.298194 | 0.430289 |
23 | 40 | 0.727966 | 0.578898 | 0.309423 | 1 | 0.513104 | 0.363911 | 0.732645 | 0.545089 |
24 | 17 | 0.896555 | 0.727833 | 0.835668 | 0.527957 | 0.666389 | 0.538105 | 0.795011 | 0.6593 |
25 | 26 | 0.656865 | 0.50585 | 0.2439 | 0.419417 | 0.467223 | 0.573347 | 0.492733 | 0.492294 |
26 | 27 | 0.708956 | 0.777208 | 0.86793 | 0.608478 | 0.502197 | 0.628056 | 0.32651 | 0.690139 |
27 | 28 | 0.780541 | 0.763026 | 0.368143 | 0.250364 | 0.611061 | 0.428161 | 0.865772 | 0.514682 |
28 | 41 | 0.468313 | 0.568008 | 0.464578 | 0.907659 | 0.415951 | 0.473088 | 0.816871 | 0.504419 |
29 | 14 | 0.724631 | 0.792516 | 0.376567 | 0.215387 | 0.523481 | 0.450966 | 0.171789 | 0.569446 |
30 | 21 | 0.875168 | 0.566755 | 0.368401 | 0.562735 | 0.564466 | 0.282411 | 0.358444 | 0.555728 |
31 | 42 | 0.213663 | 0.308226 | 0.693477 | 0.591501 | 0.426643 | 0.499622 | 0.336941 | 0.45945 |
32 | 15 | 0.568486 | 0.57592 | 0.423074 | 0.466456 | 0.476023 | 0.56933 | 0.259604 | 0.543453 |
33 | 11 | 0.357619 | 0.451129 | 0.587952 | 0.339816 | 0.498678 | 0.432481 | 0.690475 | 0.428657 |
34 | 28 | 0.771069 | 0.603178 | 0.424148 | 0.822485 | 0.469192 | 0.551552 | 0.440476 | 0.605947 |
35 | 31 | 0.934404 | 0.804138 | 0.531644 | 0.429525 | 0.68081 | 0.488468 | 0.370755 | 0.661687 |
36 | 4 | 0.823683 | 0.662806 | 0.139184 | 0.54491 | 0.478302 | 0.234723 | 0.427805 | 0.504614 |
37 | 42 | 0.602511 | 0.407815 | 0.435304 | 0.90131 | 0.44759 | 0.296674 | 0.486641 | 0.503473 |
38 | 6 | 0.586647 | 0.505819 | 0.426461 | 0.898433 | 0.695585 | 0.28484 | 0.613183 | 0.531887 |
39 | 27 | 0.57931 | 0.549805 | 0.468228 | 0.696364 | 0.365007 | 0.520858 | 0.637084 | 0.515786 |
40 | 27 | 0.698676 | 0.456467 | 0.423305 | 0.510455 | 0.395464 | 0.336219 | 0.290655 | 0.500628 |
41 | 39 | 0.788226 | 0.622803 | 0.189134 | 0.053014 | 0.410925 | 0.26822 | 0.272359 | 0.451816 |
42 | 2 | 0.817647 | 0.404172 | 0.907114 | 0.658106 | 0.393839 | 0.452899 | 0.397783 | 0.605842 |
43 | 2 | 0.706192 | 0.362111 | 0.684523 | 0.590185 | 0.525676 | 0.658926 | 0.523102 | 0.575149 |
44 | 42 | 0.802736 | 0.521296 | 0.679093 | 0.607005 | 0.561272 | 0.474732 | 0.787181 | 0.570831 |
45 | 35 | 0.76069 | 0.542406 | 0.356712 | 0.306001 | 0.357513 | 0.416744 | 0.760154 | 0.454782 |
46 | 37 | 0.682648 | 0.765421 | 0.267278 | 0.346544 | 0.648109 | 0.493666 | 0.407238 | 0.555692 |
47 | 26 | 0.378147 | 0.341314 | 0.580024 | 0.365184 | 0.463295 | 0.25233 | 0.395426 | 0.410954 |
48 | 31 | 0.542127 | 0.758404 | 0.728193 | 0.903019 | 0.380345 | 0.507246 | 0.264323 | 0.644773 |
49 | 17 | 0.527394 | 0.379531 | 0.464912 | 0.62127 | 0.433127 | 0.483386 | 0.562478 | 0.475956 |
50 | 20 | 0.507582 | 0.455117 | 0.376476 | 0.538036 | 0.499068 | 0.452319 | 0.738757 | 0.44894 |
51 | 25 | 0.424364 | 0.400756 | 0.554004 | 0.670681 | 0.423089 | 0.485703 | 0.318313 | 0.503216 |
52 | 12 | 0.492436 | 0.35058 | 0.483252 | 0.37273 | 0.318359 | 0.257008 | 0.410967 | 0.402353 |
53 | 15 | 0.453161 | 0.501017 | 0.548269 | 0.416752 | 0.500692 | 0.247264 | 0.254711 | 0.472694 |
54 | 25 | 0.7709 | 0.577585 | 0.23418 | 0.476076 | 0.506403 | 0.387249 | 0.511451 | 0.504225 |
55 | 24 | 0.982373 | 0.723053 | 0.36912 | 0.836922 | 0.49928 | 0.533954 | 0.456681 | 0.658762 |
56 | 15 | 0.700765 | 0.442443 | 0.291324 | 0.280756 | 0.548924 | 0.33764 | 0.065166 | 0.49363 |
57 | 25 | 0.516987 | 0.61029 | 0.579 | 0.777953 | 0.560768 | 0.486462 | 0.330719 | 0.589379 |
58 | 20 | 0.79007 | 0.529883 | 0.766326 | 0.729035 | 0.462697 | 0.835059 | 0.74326 | 0.647169 |
59 | 4 | 0.573667 | 0.493469 | 0.473538 | 0.670356 | 0.579812 | 0.240374 | 0.849947 | 0.461865 |
60 | 23 | 0.717619 | 0.630206 | 0.80307 | 0.626404 | 0.545536 | 0.50532 | 0.290833 | 0.647439 |
61 | 19 | 0.847296 | 0.560208 | 0.590032 | 0.750496 | 0.518577 | 0.452614 | 0.739262 | 0.586736 |
62 | 11 | 0.740925 | 0.541897 | 0.717107 | 0.671606 | 0.56196 | 0.607908 | 0.045024 | 0.672094 |
63 | 38 | 0.680162 | 0.409143 | 0.188912 | 0.887197 | 0.535856 | 0.175782 | 0.587886 | 0.462625 |
64 | 27 | 0.5873 | 0.585783 | 0.660905 | 0.451986 | 0.489755 | 0.606118 | 0.666453 | 0.547024 |
65 | 10 | 0.510007 | 0.663005 | 0.51137 | 0.557058 | 0.377348 | 0.304982 | 0.449525 | 0.498707 |
66 | 27 | 0.489913 | 0.364416 | 0.75829 | 0.649186 | 0.364088 | 0.416192 | 0.472429 | 0.500881 |
67 | 25 | 0.606311 | 0.595373 | 0.901574 | 0.192063 | 0.550741 | 0.409923 | 0.581902 | 0.539058 |
68 | 30 | 0.393586 | 0.609483 | 0.749346 | 0.692345 | 0.366406 | 0.622782 | 0.707475 | 0.541409 |
69 | 12 | 0.78409 | 0.534734 | 0.17543 | 0.585362 | 0.280846 | 0.434846 | 0.676447 | 0.467824 |
70 | 13 | 0.448168 | 0.443278 | 0.44017 | 0.695741 | 0.401175 | 0.327947 | 0.723319 | 0.433853 |
71 | 5 | 0.619482 | 0.547537 | 0.444356 | 0.541747 | 0.441357 | 0.491462 | 0.256437 | 0.543236 |
72 | 23 | 0.304904 | 0.282388 | 0.60298 | 0.811406 | 0.381316 | 0.605262 | 0.177157 | 0.512382 |
73 | 15 | 0.564492 | 0.622258 | 0.41186 | 0.662443 | 0.552907 | 0.352704 | 0.325676 | 0.540982 |
74 | 36 | 0.531121 | 0.442781 | 0.476765 | 0.511852 | 0.468232 | 0.316529 | 0.371063 | 0.473198 |
75 | 37 | 0.759425 | 0.741367 | 0.618265 | 0.946673 | 0.537625 | 0.531214 | 0.365204 | 0.683289 |
76 | 1 | 0.146856 | 0.368681 | 0.23122 | 0.715295 | 0.118756 | 0.333485 | 0.340967 | 0.344514 |
77 | 2 | 0.444616 | 0.53841 | 0.412088 | 0.622923 | 0.453285 | 0.530074 | 0.154171 | 0.533177 |
78 | 16 | 0.66241 | 0.628826 | 0.664709 | 0.654967 | 0.64737 | 0.746042 | 0.483045 | 0.652824 |
79 | 27 | 0.70493 | 0.644484 | 0.212776 | 0.548469 | 0.410626 | 0.350416 | 0.695628 | 0.474278 |
80 | 12 | 0.379501 | 0.745139 | 0.407689 | 0.505991 | 0.418122 | 0.508301 | 0.334477 | 0.518286 |
81 | 23 | 0.602211 | 0.616865 | 0.633934 | 0.413754 | 0.52258 | 0.565169 | 0.56336 | 0.554635 |
82 | 20 | 0.924911 | 0.505946 | 0.259552 | 0.472681 | 0.42208 | 0.279001 | 0.76788 | 0.469115 |
83 | 35 | 0.655455 | 0.511376 | 0.534806 | 0.436291 | 0.542772 | 0.583834 | 0.65995 | 0.529809 |
84 | 12 | 0.326403 | 0.181238 | 0.34021 | 0.668891 | 0.308311 | 0.368204 | 0.417663 | 0.373415 |
85 | 21 | 0.552367 | 0.623751 | 0.353614 | 0.546181 | 0.496262 | 0.437044 | 0.532921 | 0.502935 |
86 | 18 | 0.771226 | 0.583269 | 0.411669 | 0.352519 | 0.526288 | 0.422194 | 0.616096 | 0.512841 |
87 | 3 | 0.532157 | 0.477615 | 0.694251 | 0.432264 | 0.189073 | 0.480553 | 0.736246 | 0.456778 |
88 | 36 | 0.985501 | 0.804507 | 0.51187 | 0.778309 | 0.576969 | 0.629609 | 0.407475 | 0.716486 |
89 | 7 | 0.582188 | 0.705028 | 0.213254 | 0.379258 | 0.623332 | 0.393618 | 0.430289 | 0.501815 |
90 | 30 | 0.878771 | 0.543014 | 0.659401 | 0.694161 | 0.491939 | 0.462755 | 0.434488 | 0.621161 |
91 | 25 | 0.540532 | 0.684462 | 0.436652 | 0.905996 | 0.447561 | 0.447908 | 0.274719 | 0.58825 |
92 | 4 | 0.742722 | 0.773866 | 0.793148 | 0.897291 | 0.542107 | 0.583208 | 0.402859 | 0.709782 |
93 | 8 | 0.250756 | 0.446599 | 0.823387 | 0.545283 | 0.291538 | 0.411114 | 0.36679 | 0.470316 |
94 | 39 | 0.499655 | 0.520153 | 0.469717 | 0.920813 | 0.384844 | 0.310101 | 0.613131 | 0.494308 |
95 | 41 | 0.396959 | 0.348594 | 0.555458 | 1 | 0.201122 | 0.175193 | 0.344022 | 0.449727 |
96 | 8 | 0.948965 | 0.688926 | 0.37187 | 0.482346 | 0.700003 | 0.42841 | 0.660722 | 0.591237 |
97 | 29 | 0.480986 | 0.555401 | 0.370116 | 0.724071 | 0.36564 | 0.424069 | 0.238062 | 0.513176 |
98 | 30 | 0.70754 | 0.777656 | 0.41279 | 0.737447 | 0.633904 | 0.508307 | 0.676211 | 0.603396 |
99 | 3 | 0.767782 | 0.573228 | 0.811717 | 0.90326 | 0.638363 | 0.407989 | 0.65931 | 0.639364 |
100 | 16 | 0.706319 | 0.534331 | 0.367766 | 0.608668 | 0.523202 | 0.486229 | 0.507793 | 0.537646 |
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Wealthfork Economics Dataset
Dataset Description
Summary
Synthetic 200-row dataset for Wealthfork measurement and computational experiments.
Supported Tasks
- Economic analysis
- Wealth Inequality / Income Distribution research
- Computational economics
Languages
- English (metadata and documentation)
- Python (code examples)
Dataset Structure
Data Fields
id: Unique observation idcohort: Synthetic household cohortreturn_dispersion: Dispersion in realized asset returnscapital_access_gap: Gap in access to high-yield capital marketsinheritance_flow: Relative inheritance inflow intensitysavings_rate_gap: Gap in effective savings ratesasset_shock_exposure: Exposure to asset-price shocksmobility_barrier: Barrier to upward wealth mobilityredistribution_intensity: Intensity of redistributive counterforceswealthfork_index: Composite term index
Data Splits
- Full dataset: 200 examples
Dataset Creation
Source Data
Synthetic data generated for demonstrating Wealthfork applications.
Data Generation
Channels are sampled from controlled distributions with correlated structure. The term index is computed from normalized channels and directional weights.
Considerations
Social Impact
Research-only synthetic data for method development and reproducibility testing.
Additional Information
Licensing
MIT License - free for academic and commercial use.
Citation
@dataset{wealthfork2026, title={{Wealthfork Economics Dataset}}, author={{Economic Research Collective}}, year={{2026}} }
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