FinanceToolkit v1.7.2
Added a lot more economic metrics (over 50) into the Finance Toolkit, find the total list here. For example, get insights into how the United States Government spend their income:
from financetoolkit import Economics
economics = Economics()
central_government_spending = economics.get_central_government_spending()
central_government_spending['United States']Which returns:
| General Public Services | Defence | Public Order and Safety | Economic Affairs | Environmental Protection | Housing and Community Amenities | Health | Recreation, Culture and Religion | Education | Social Protection | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2007 | 0.1578 | 0.186 | 0.0148 | 0.0578 | 0 | 0.0192 | 0.2486 | 0.0015 | 0.0222 | 0.2921 |
| 2008 | 0.1392 | 0.1861 | 0.0148 | 0.069 | 0 | 0.0188 | 0.2369 | 0.0014 | 0.0221 | 0.3117 |
| 2009 | 0.1198 | 0.1772 | 0.0148 | 0.0639 | 0 | 0.0406 | 0.2417 | 0.0014 | 0.028 | 0.3127 |
| 2010 | 0.1211 | 0.1759 | 0.0148 | 0.0585 | 0 | 0.0309 | 0.2416 | 0.0015 | 0.0346 | 0.3211 |
| 2011 | 0.1324 | 0.1754 | 0.0149 | 0.0562 | 0 | 0.0271 | 0.2416 | 0.0014 | 0.0337 | 0.3173 |
| 2012 | 0.1348 | 0.173 | 0.0154 | 0.056 | 0 | 0.0216 | 0.2491 | 0.0014 | 0.0296 | 0.3191 |
| 2013 | 0.1333 | 0.162 | 0.0145 | 0.055 | 0 | 0.0172 | 0.2589 | 0.0013 | 0.0281 | 0.3296 |
| 2014 | 0.135 | 0.1525 | 0.0143 | 0.0524 | 0 | 0.0168 | 0.2765 | 0.0013 | 0.0269 | 0.3244 |
| 2015 | 0.1294 | 0.1461 | 0.0141 | 0.0473 | 0 | 0.0161 | 0.2919 | 0.0012 | 0.026 | 0.3279 |
| 2016 | 0.1321 | 0.141 | 0.0141 | 0.0526 | 0 | 0.0156 | 0.2952 | 0.0013 | 0.0244 | 0.3238 |
| 2017 | 0.1325 | 0.1408 | 0.0137 | 0.0526 | 0 | 0.0171 | 0.2961 | 0.0013 | 0.0233 | 0.3226 |
| 2018 | 0.1407 | 0.1427 | 0.0135 | 0.0519 | 0 | 0.014 | 0.2967 | 0.0012 | 0.0226 | 0.3165 |
| 2019 | 0.1417 | 0.1461 | 0.013 | 0.052 | 0 | 0.0133 | 0.2971 | 0.0012 | 0.021 | 0.3147 |
Or plotted:
Or see the Income Inequality in the Netherlands:
from financetoolkit import Toolkit
toolkit = Toolkit("MSFT")
income_inequality = toolkit.economics.get_income_inequality()
income_inequality['Netherlands']Which returns:
| Gini Coefficient | P90/P10 | P90/P50 | P50/P10 | Palma Ratio | S80/S20 | |
|---|---|---|---|---|---|---|
| 2013 | 0.287 | 3.4 | 1.8 | 1.9 | 1.05 | 4.3 |
| 2014 | 0.305 | 3.4 | 1.8 | 1.9 | 1.16 | 4.6 |
| 2015 | 0.305 | 3.4 | 1.8 | 1.9 | 1.06 | 4.4 |
| 2016 | 0.292 | 3.4 | 1.8 | 1.9 | 1.07 | 4.4 |
| 2017 | 0.298 | 3.4 | 1.8 | 1.9 | 1.11 | 4.5 |
| 2018 | 0.295 | 3.3 | 1.8 | 1.9 | 1.09 | 4.4 |
| 2019 | 0.312 | 3.4 | 1.8 | 1.9 | 1.21 | 4.7 |
| 2020 | 0.295 | 3.3 | 1.8 | 1.9 | 1.09 | 4.4 |
| 2021 | 0.297 | 3.4 | 1.8 | 1.9 | 1.1 | 4.5 |
Or plotted:
And so much more!

