Up to date remote economic data access for ruby, using Polars dataframes.
This package will fetch economic and financial information from the Federal Reserve Bank of NY (specifically several time series from the FRB NY's Household Credit and Debt report), and return the results as a Polars dataframe.
Add this line to your application's Gemfile:
gem 'ny_frb_as_dataframe'
And then execute:
$ bundle install
Or install it yourself as:
$ gem install ny_frb_as_dataframe
3.1.2 :001 > NyFrbAsDataframe::Hhdc.new.fetch # Fetches all data
=>
shape: (102, 103)
┌────────────┬───────────────────┬────────────────────┬────────────────────────┬───┬────────────────────────┬────────────────────────┬────────────────────────┬───────────────────────┐
│ Timestamps ┆ Mort Debt Balance ┆ HELOC Debt Balance ┆ Car Loan Debt Balance ┆ … ┆ New Bankruptcies for ┆ New Bankruptcies for ┆ New Bankruptcies for ┆ New Bankruptcies for │
│ --- ┆ ($T) ┆ ($T) ┆ ($T) ┆ ┆ 40-49 yo … ┆ 50-59 yo … ┆ 60-69 yo … ┆ 70+ yo (0… │
│ str ┆ --- ┆ --- ┆ --- ┆ ┆ --- ┆ --- ┆ --- ┆ --- │
│ ┆ f64 ┆ f64 ┆ f64 ┆ ┆ f64 ┆ f64 ┆ f64 ┆ f64 │
╞════════════╪═══════════════════╪════════════════════╪════════════════════════╪═══╪════════════════════════╪════════════════════════╪════════════════════════╪═══════════════════════╡
│ 1999-01-01 ┆ null ┆ null ┆ null ┆ … ┆ null ┆ null ┆ null ┆ null │
│ 1999-04-01 ┆ null ┆ null ┆ null ┆ … ┆ null ┆ null ┆ null ┆ null │
│ 1999-07-01 ┆ null ┆ null ┆ null ┆ … ┆ null ┆ null ┆ null ┆ null │
│ 1999-10-01 ┆ null ┆ null ┆ null ┆ … ┆ null ┆ null ┆ null ┆ null │
│ 2000-01-01 ┆ null ┆ null ┆ null ┆ … ┆ 108.38 ┆ 63.04 ┆ 25.2 ┆ 17.84 │
│ 2000-04-01 ┆ null ┆ null ┆ null ┆ … ┆ 135.18 ┆ 79.94 ┆ 30.04 ┆ 19.56 │
│ 2000-07-01 ┆ null ┆ null ┆ null ┆ … ┆ 111.94 ┆ 66.2 ┆ 25.42 ┆ 16.16 │
│ 2000-10-01 ┆ null ┆ null ┆ null ┆ … ┆ 115.6 ┆ 66.34 ┆ 24.94 ┆ 15.56 │
│ 2001-01-01 ┆ null ┆ null ┆ null ┆ … ┆ 118.3 ┆ 70.46 ┆ 27.44 ┆ 18.04 │
│ 2001-04-01 ┆ null ┆ null ┆ null ┆ … ┆ 168.38 ┆ 104.18 ┆ 40.98 ┆ 25.0 │
│ 2001-07-01 ┆ null ┆ null ┆ null ┆ … ┆ 129.8 ┆ 77.82 ┆ 31.56 ┆ 20.02 │
│ 2001-10-01 ┆ null ┆ null ┆ null ┆ … ┆ 139.88 ┆ 82.96 ┆ 31.68 ┆ 21.02 │
│ 2002-01-01 ┆ null ┆ null ┆ null ┆ … ┆ 187.78 ┆ 123.64 ┆ 50.78 ┆ 29.8 │
│ 2002-04-01 ┆ null ┆ null ┆ null ┆ … ┆ 141.18 ┆ 89.02 ┆ 33.86 ┆ 18.96 │
│ 2002-07-01 ┆ null ┆ null ┆ null ┆ … ┆ 140.06 ┆ 88.94 ┆ 34.24 ┆ 18.08 │
│ 2002-10-01 ┆ null ┆ null ┆ null ┆ … ┆ 143.2 ┆ 88.26 ┆ 36.88 ┆ 18.76 │
│ 2003-01-01 ┆ 4.942 ┆ 0.242 ┆ 0.641 ┆ … ┆ 165.44 ┆ 108.78 ┆ 47.3 ┆ 28.52 │
│ 2003-04-01 ┆ 5.08 ┆ 0.26 ┆ 0.622 ┆ … ┆ 166.3 ┆ 106.36 ┆ 43.32 ┆ 24.1 │
│ 2003-07-01 ┆ 5.183 ┆ 0.269 ┆ 0.684 ┆ … ┆ 144.2 ┆ 90.44 ┆ 38.48 ┆ 22.24 │
│ 2003-10-01 ┆ 5.66 ┆ 0.302 ┆ 0.704 ┆ … ┆ 135.0 ┆ 89.42 ┆ 37.56 ┆ 20.26 │
│ 2004-01-01 ┆ 5.84 ┆ 0.328 ┆ 0.72 ┆ … ┆ 143.6 ┆ 93.12 ┆ 40.68 ┆ 22.66 │
│ 2004-04-01 ┆ 5.967 ┆ 0.367 ┆ 0.743 ┆ … ┆ 153.58 ┆ 99.18 ┆ 44.3 ┆ 22.1 │
│ 2004-07-01 ┆ 6.21 ┆ 0.426 ┆ 0.751 ┆ … ┆ 135.56 ┆ 92.74 ┆ 37.88 ┆ 21.58 │
│ 2004-10-01 ┆ 6.36 ┆ 0.468 ┆ 0.728 ┆ … ┆ 153.16 ┆ 102.98 ┆ 41.78 ┆ 22.5 │
│ 2005-01-01 ┆ 6.512 ┆ 0.502 ┆ 0.725 ┆ … ┆ 125.52 ┆ 87.14 ┆ 36.92 ┆ 21.4 │
│ 2005-04-01 ┆ 6.696 ┆ 0.528 ┆ 0.774 ┆ … ┆ 178.98 ┆ 127.16 ┆ 55.3 ┆ 29.22 │
│ 2005-07-01 ┆ 6.906 ┆ 0.541 ┆ 0.83 ┆ … ┆ 176.7 ┆ 126.84 ┆ 54.7 ┆ 30.64 │
│ 2005-10-01 ┆ 7.102 ┆ 0.565 ┆ 0.792 ┆ … ┆ 257.14 ┆ 173.72 ┆ 68.4 ┆ 33.26 │
│ 2006-01-01 ┆ 7.436 ┆ 0.582 ┆ 0.788 ┆ … ┆ 52.76 ┆ 37.24 ┆ 16.42 ┆ 10.14 │
│ 2006-04-01 ┆ 7.76 ┆ 0.59 ┆ 0.796 ┆ … ┆ 69.0 ┆ 49.48 ┆ 23.22 ┆ 13.54 │
│ 2006-07-01 ┆ 8.045 ┆ 0.603 ┆ 0.821 ┆ … ┆ 75.58 ┆ 56.16 ┆ 24.48 ┆ 13.28 │
│ 2006-10-01 ┆ 8.234 ┆ 0.604 ┆ 0.821 ┆ … ┆ 75.96 ┆ 53.72 ┆ 25.04 ┆ 14.46 │
│ 2007-01-01 ┆ 8.422 ┆ 0.605 ┆ 0.794 ┆ … ┆ 73.02 ┆ 51.82 ┆ 24.66 ┆ 12.14 │
│ 2007-04-01 ┆ 8.706 ┆ 0.619 ┆ 0.807 ┆ … ┆ 78.72 ┆ 60.14 ┆ 25.86 ┆ 13.74 │
│ 2007-07-01 ┆ 8.925 ┆ 0.631 ┆ 0.818 ┆ … ┆ 90.12 ┆ 64.7 ┆ 29.2 ┆ 14.26 │
│ 2007-10-01 ┆ 9.101 ┆ 0.647 ┆ 0.815 ┆ … ┆ 99.94 ┆ 72.18 ┆ 31.98 ┆ 15.38 │
│ 2008-01-01 ┆ 9.234 ┆ 0.663 ┆ 0.808 ┆ … ┆ 92.32 ┆ 66.94 ┆ 31.4 ┆ 15.2 │
│ 2008-04-01 ┆ 9.273 ┆ 0.679 ┆ 0.81 ┆ … ┆ 109.68 ┆ 79.1 ┆ 37.22 ┆ 16.8 │
│ 2008-07-01 ┆ 9.294 ┆ 0.692 ┆ 0.809 ┆ … ┆ 115.04 ┆ 83.9 ┆ 38.44 ┆ 16.36 │
│ 2008-10-01 ┆ 9.257 ┆ 0.705 ┆ 0.791 ┆ … ┆ 121.56 ┆ 91.02 ┆ 43.52 ┆ 19.3 │
│ 2009-01-01 ┆ 9.135 ┆ 0.714 ┆ 0.766 ┆ … ┆ 115.06 ┆ 89.94 ┆ 46.76 ┆ 19.96 │
│ 2009-04-01 ┆ 9.063 ┆ 0.713 ┆ 0.743 ┆ … ┆ 151.9 ┆ 113.08 ┆ 53.72 ┆ 22.94 │
│ 2009-07-01 ┆ 8.944 ┆ 0.708 ┆ 0.739 ┆ … ┆ 150.84 ┆ 115.84 ┆ 56.44 ┆ 22.8 │
│ 2009-10-01 ┆ 8.843 ┆ 0.7064 ┆ 0.7219 ┆ … ┆ 141.88 ┆ 110.3 ┆ 52.66 ┆ 20.72 │
│ 2010-01-01 ┆ 8.834 ┆ 0.6951 ┆ 0.7047 ┆ … ┆ 134.62 ┆ 107.18 ┆ 54.62 ┆ 22.56 │
│ 2010-04-01 ┆ 8.703 ┆ 0.6826 ┆ 0.7022 ┆ … ┆ 181.98 ┆ 144.74 ┆ 71.06 ┆ 29.56 │
│ 2010-07-01 ┆ 8.609 ┆ 0.6734 ┆ 0.71 ┆ … ┆ 153.62 ┆ 123.42 ┆ 62.66 ┆ 24.62 │
│ 2010-10-01 ┆ 8.452 ┆ 0.6678 ┆ 0.711 ┆ … ┆ 149.36 ┆ 116.0 ┆ 57.48 ┆ 23.6 │
│ 2011-01-01 ┆ 8.544 ┆ 0.6405 ┆ 0.7056 ┆ … ┆ 126.34 ┆ 101.66 ┆ 56.36 ┆ 23.16 │
│ 2011-04-01 ┆ 8.516 ┆ 0.6245 ┆ 0.713 ┆ … ┆ 142.22 ┆ 110.26 ┆ 56.06 ┆ 22.96 │
│ 2011-07-01 ┆ 8.402 ┆ 0.6387 ┆ 0.7304 ┆ … ┆ 124.38 ┆ 101.38 ┆ 50.7 ┆ 20.74 │
│ 2011-10-01 ┆ 8.268 ┆ 0.6271 ┆ 0.7341 ┆ … ┆ 129.6 ┆ 100.98 ┆ 50.18 ┆ 21.32 │
│ 2012-01-01 ┆ 8.187 ┆ 0.6118 ┆ 0.7365 ┆ … ┆ 109.8 ┆ 89.98 ┆ 46.86 ┆ 20.46 │
│ 2012-04-01 ┆ 8.147 ┆ 0.589 ┆ 0.75 ┆ … ┆ 115.9 ┆ 97.26 ┆ 47.18 ┆ 20.76 │
│ 2012-07-01 ┆ 8.028 ┆ 0.573 ┆ 0.768 ┆ … ┆ 101.54 ┆ 84.32 ┆ 43.78 ┆ 18.42 │
│ 2012-10-01 ┆ 8.033 ┆ 0.563 ┆ 0.783 ┆ … ┆ 98.58 ┆ 81.44 ┆ 41.32 ┆ 16.3 │
│ 2013-01-01 ┆ 7.932 ┆ 0.552 ┆ 0.794 ┆ … ┆ 88.8 ┆ 75.06 ┆ 40.26 ┆ 17.58 │
│ 2013-04-01 ┆ 7.841 ┆ 0.54 ┆ 0.814 ┆ … ┆ 108.58 ┆ 94.28 ┆ 48.34 ┆ 21.4 │
│ 2013-07-01 ┆ 7.897 ┆ 0.535 ┆ 0.845 ┆ … ┆ 102.08 ┆ 87.72 ┆ 46.56 ┆ 20.52 │
│ 2013-10-01 ┆ 8.049 ┆ 0.529 ┆ 0.863 ┆ … ┆ 95.44 ┆ 82.88 ┆ 41.68 ┆ 19.32 │
│ 2014-01-01 ┆ 8.165 ┆ 0.526 ┆ 0.875 ┆ … ┆ 74.66 ┆ 67.54 ┆ 37.04 ┆ 16.32 │
│ 2014-04-01 ┆ 8.096 ┆ 0.521 ┆ 0.905 ┆ … ┆ 88.74 ┆ 76.62 ┆ 39.94 ┆ 17.54 │
│ 2014-07-01 ┆ 8.131 ┆ 0.512 ┆ 0.934 ┆ … ┆ 74.48 ┆ 63.14 ┆ 34.98 ┆ 15.54 │
│ 2014-10-01 ┆ 8.17 ┆ 0.51 ┆ 0.955 ┆ … ┆ 76.98 ┆ 64.14 ┆ 35.84 ┆ 15.3 │
│ 2015-01-01 ┆ 8.171 ┆ 0.51 ┆ 0.968 ┆ … ┆ 70.1 ┆ 63.48 ┆ 35.98 ┆ 16.7 │
│ 2015-04-01 ┆ 8.116 ┆ 0.499 ┆ 1.006 ┆ … ┆ 72.94 ┆ 62.82 ┆ 35.04 ┆ 16.12 │
│ 2015-07-01 ┆ 8.26 ┆ 0.492 ┆ 1.045 ┆ … ┆ 60.52 ┆ 53.82 ┆ 30.06 ┆ 13.68 │
│ 2015-10-01 ┆ 8.249 ┆ 0.487 ┆ 1.064 ┆ … ┆ 56.66 ┆ 51.82 ┆ 28.06 ┆ 13.7 │
│ 2016-01-01 ┆ 8.369 ┆ 0.485 ┆ 1.071 ┆ … ┆ 54.02 ┆ 50.38 ┆ 28.08 ┆ 13.4 │
│ 2016-04-01 ┆ 8.362 ┆ 0.478 ┆ 1.103 ┆ … ┆ 58.4 ┆ 51.5 ┆ 30.74 ┆ 15.32 │
│ 2016-07-01 ┆ 8.35 ┆ 0.472 ┆ 1.135 ┆ … ┆ 56.24 ┆ 48.74 ┆ 28.8 ┆ 13.98 │
│ 2016-10-01 ┆ 8.48 ┆ 0.473 ┆ 1.157 ┆ … ┆ 53.78 ┆ 48.26 ┆ 27.24 ┆ 13.46 │
│ 2017-01-01 ┆ 8.627 ┆ 0.456 ┆ 1.167 ┆ … ┆ 53.64 ┆ 48.88 ┆ 29.96 ┆ 14.92 │
│ 2017-04-01 ┆ 8.691 ┆ 0.452 ┆ 1.19 ┆ … ┆ 59.96 ┆ 50.06 ┆ 30.78 ┆ 15.8 │
│ 2017-07-01 ┆ 8.743 ┆ 0.448 ┆ 1.213 ┆ … ┆ 54.44 ┆ 49.12 ┆ 28.04 ┆ 15.96 │
│ 2017-10-01 ┆ 8.882 ┆ 0.444 ┆ 1.221 ┆ … ┆ 51.74 ┆ 44.52 ┆ 29.44 ┆ 15.36 │
│ 2018-01-01 ┆ 8.939 ┆ 0.436 ┆ 1.229 ┆ … ┆ 50.26 ┆ 45.08 ┆ 27.0 ┆ 15.3 │
│ 2018-04-01 ┆ 8.999 ┆ 0.432 ┆ 1.238 ┆ … ┆ 58.82 ┆ 51.58 ┆ 32.12 ┆ 17.66 │
│ 2018-07-01 ┆ 9.14 ┆ 0.422 ┆ 1.265 ┆ … ┆ 54.26 ┆ 49.26 ┆ 31.66 ┆ 17.36 │
│ 2018-10-01 ┆ 9.124 ┆ 0.412 ┆ 1.274 ┆ … ┆ 51.24 ┆ 45.78 ┆ 26.62 ┆ 14.78 │
│ 2019-01-01 ┆ 9.244 ┆ 0.406 ┆ 1.28 ┆ … ┆ 48.74 ┆ 45.7 ┆ 28.46 ┆ 16.68 │
│ 2019-04-01 ┆ 9.406 ┆ 0.399 ┆ 1.297 ┆ … ┆ 59.26 ┆ 55.22 ┆ 31.54 ┆ 19.04 │
│ 2019-07-01 ┆ 9.437 ┆ 0.396 ┆ 1.315 ┆ … ┆ 47.52 ┆ 42.24 ┆ 25.66 ┆ 14.78 │
│ 2019-10-01 ┆ 9.557 ┆ 0.39 ┆ 1.331 ┆ … ┆ 52.28 ┆ 46.26 ┆ 28.26 ┆ 16.02 │
│ 2020-01-01 ┆ 9.713 ┆ 0.386 ┆ 1.346 ┆ … ┆ 48.28 ┆ 43.42 ┆ 27.82 ┆ 16.42 │
│ 2020-04-01 ┆ 9.776 ┆ 0.375 ┆ 1.343 ┆ … ┆ 33.38 ┆ 30.42 ┆ 19.54 ┆ 12.42 │
│ 2020-07-01 ┆ 9.861 ┆ 0.362 ┆ 1.36 ┆ … ┆ 33.1 ┆ 29.62 ┆ 19.02 ┆ 11.58 │
│ 2020-10-01 ┆ 10.043 ┆ 0.349 ┆ 1.374 ┆ … ┆ 29.8 ┆ 28.1 ┆ 17.38 ┆ 9.52 │
│ 2021-01-01 ┆ 10.16 ┆ 0.335 ┆ 1.382 ┆ … ┆ 27.64 ┆ 26.86 ┆ 16.94 ┆ 9.58 │
│ 2021-04-01 ┆ 10.442 ┆ 0.322 ┆ 1.415 ┆ … ┆ 29.26 ┆ 27.84 ┆ 17.52 ┆ 9.72 │
│ 2021-07-01 ┆ 10.672 ┆ 0.317 ┆ 1.443 ┆ … ┆ 24.68 ┆ 22.56 ┆ 14.94 ┆ 8.72 │
│ 2021-10-01 ┆ 10.93 ┆ 0.318 ┆ 1.458 ┆ … ┆ 22.28 ┆ 21.26 ┆ 15.72 ┆ 7.96 │
│ 2022-01-01 ┆ 11.18 ┆ 0.317 ┆ 1.469 ┆ … ┆ 21.98 ┆ 21.7 ┆ 14.5 ┆ 8.3 │
│ 2022-04-01 ┆ 11.387 ┆ 0.319 ┆ 1.502 ┆ … ┆ 22.02 ┆ 21.96 ┆ 14.62 ┆ 8.46 │
│ 2022-07-01 ┆ 11.669 ┆ 0.322 ┆ 1.524 ┆ … ┆ 24.62 ┆ 22.38 ┆ 16.18 ┆ 8.18 │
│ 2022-10-01 ┆ 11.923 ┆ 0.336 ┆ 1.552 ┆ … ┆ 24.58 ┆ 22.52 ┆ 14.6 ┆ 8.08 │
│ 2023-01-01 ┆ 12.044 ┆ 0.339 ┆ 1.562 ┆ … ┆ 24.06 ┆ 24.92 ┆ 15.44 ┆ 9.4 │
│ 2023-04-01 ┆ 12.014 ┆ 0.34 ┆ 1.582 ┆ … ┆ 28.5 ┆ 26.1 ┆ 15.74 ┆ 9.98 │
│ 2023-07-01 ┆ 12.14 ┆ 0.349 ┆ 1.595 ┆ … ┆ 28.54 ┆ 26.86 ┆ 16.34 ┆ 9.5 │
│ 2023-10-01 ┆ 12.252 ┆ 0.36 ┆ 1.607 ┆ … ┆ 28.44 ┆ 25.62 ┆ 16.68 ┆ 9.26 │
│ 2024-01-01 ┆ 12.442 ┆ 0.376 ┆ 1.616 ┆ … ┆ 30.2 ┆ 28.66 ┆ 18.3 ┆ 9.88 │
│ 2024-04-01 ┆ 12.519 ┆ 0.38 ┆ 1.626 ┆ … ┆ 34.26 ┆ 31.0 ┆ 18.92 ┆ 11.42 │
└────────────┴───────────────────┴────────────────────┴────────────────────────┴───┴────────────────────────┴────────────────────────┴────────────────────────┴───────────────────────┘
3.1.2 :002 > NyFrbAsDataframe::Hhdc.new('Mort Debt Balance ($T)').fetch
=>
shape: (102, 2)
┌────────────┬────────────────────────┐
│ Timestamps ┆ Mort Debt Balance ($T) │
│ --- ┆ --- │
│ str ┆ f64 │
╞════════════╪════════════════════════╡
│ 1999-01-01 ┆ null │
│ 1999-04-01 ┆ null │
│ 1999-07-01 ┆ null │
│ 1999-10-01 ┆ null │
│ 2000-01-01 ┆ null │
│ 2000-04-01 ┆ null │
│ 2000-07-01 ┆ null │
│ 2000-10-01 ┆ null │
│ 2001-01-01 ┆ null │
│ 2001-04-01 ┆ null │
│ 2001-07-01 ┆ null │
│ 2001-10-01 ┆ null │
│ 2002-01-01 ┆ null │
│ 2002-04-01 ┆ null │
│ 2002-07-01 ┆ null │
│ 2002-10-01 ┆ null │
│ 2003-01-01 ┆ 4.942 │
│ 2003-04-01 ┆ 5.08 │
│ 2003-07-01 ┆ 5.183 │
│ 2003-10-01 ┆ 5.66 │
│ 2004-01-01 ┆ 5.84 │
│ 2004-04-01 ┆ 5.967 │
│ 2004-07-01 ┆ 6.21 │
│ 2004-10-01 ┆ 6.36 │
│ 2005-01-01 ┆ 6.512 │
│ 2005-04-01 ┆ 6.696 │
│ 2005-07-01 ┆ 6.906 │
│ 2005-10-01 ┆ 7.102 │
│ 2006-01-01 ┆ 7.436 │
│ 2006-04-01 ┆ 7.76 │
│ 2006-07-01 ┆ 8.045 │
│ 2006-10-01 ┆ 8.234 │
│ 2007-01-01 ┆ 8.422 │
│ 2007-04-01 ┆ 8.706 │
│ 2007-07-01 ┆ 8.925 │
│ 2007-10-01 ┆ 9.101 │
│ 2008-01-01 ┆ 9.234 │
│ 2008-04-01 ┆ 9.273 │
│ 2008-07-01 ┆ 9.294 │
│ 2008-10-01 ┆ 9.257 │
│ 2009-01-01 ┆ 9.135 │
│ 2009-04-01 ┆ 9.063 │
│ 2009-07-01 ┆ 8.944 │
│ 2009-10-01 ┆ 8.843 │
│ 2010-01-01 ┆ 8.834 │
│ 2010-04-01 ┆ 8.703 │
│ 2010-07-01 ┆ 8.609 │
│ 2010-10-01 ┆ 8.452 │
│ 2011-01-01 ┆ 8.544 │
│ 2011-04-01 ┆ 8.516 │
│ 2011-07-01 ┆ 8.402 │
│ 2011-10-01 ┆ 8.268 │
│ 2012-01-01 ┆ 8.187 │
│ 2012-04-01 ┆ 8.147 │
│ 2012-07-01 ┆ 8.028 │
│ 2012-10-01 ┆ 8.033 │
│ 2013-01-01 ┆ 7.932 │
│ 2013-04-01 ┆ 7.841 │
│ 2013-07-01 ┆ 7.897 │
│ 2013-10-01 ┆ 8.049 │
│ 2014-01-01 ┆ 8.165 │
│ 2014-04-01 ┆ 8.096 │
│ 2014-07-01 ┆ 8.131 │
│ 2014-10-01 ┆ 8.17 │
│ 2015-01-01 ┆ 8.171 │
│ 2015-04-01 ┆ 8.116 │
│ 2015-07-01 ┆ 8.26 │
│ 2015-10-01 ┆ 8.249 │
│ 2016-01-01 ┆ 8.369 │
│ 2016-04-01 ┆ 8.362 │
│ 2016-07-01 ┆ 8.35 │
│ 2016-10-01 ┆ 8.48 │
│ 2017-01-01 ┆ 8.627 │
│ 2017-04-01 ┆ 8.691 │
│ 2017-07-01 ┆ 8.743 │
│ 2017-10-01 ┆ 8.882 │
│ 2018-01-01 ┆ 8.939 │
│ 2018-04-01 ┆ 8.999 │
│ 2018-07-01 ┆ 9.14 │
│ 2018-10-01 ┆ 9.124 │
│ 2019-01-01 ┆ 9.244 │
│ 2019-04-01 ┆ 9.406 │
│ 2019-07-01 ┆ 9.437 │
│ 2019-10-01 ┆ 9.557 │
│ 2020-01-01 ┆ 9.713 │
│ 2020-04-01 ┆ 9.776 │
│ 2020-07-01 ┆ 9.861 │
│ 2020-10-01 ┆ 10.043 │
│ 2021-01-01 ┆ 10.16 │
│ 2021-04-01 ┆ 10.442 │
│ 2021-07-01 ┆ 10.672 │
│ 2021-10-01 ┆ 10.93 │
│ 2022-01-01 ┆ 11.18 │
│ 2022-04-01 ┆ 11.387 │
│ 2022-07-01 ┆ 11.669 │
│ 2022-10-01 ┆ 11.923 │
│ 2023-01-01 ┆ 12.044 │
│ 2023-04-01 ┆ 12.014 │
│ 2023-07-01 ┆ 12.14 │
│ 2023-10-01 ┆ 12.252 │
│ 2024-01-01 ┆ 12.442 │
│ 2024-04-01 ┆ 12.519 │
└────────────┴────────────────────────┘
The attributes that can be queried at this time are
Refer to https://www.newyorkfed.org/microeconomics/hhdc/background.html and https://www.newyorkfed.org/microeconomics/hhdc for additional information about available data.
Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/ny_frb_as_dataframe. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the code of conduct.
The gem is available as open source under the terms of the MIT License.
Everyone interacting in the NyFrbAsDataframe project's codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.
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