From a 210-row sample across 4 columns.
amtpub_dtfisc_yramtpub_dtfisc_yrpub_dtamtpub_dtfisc_yrpub_dt| pub_dt | pnsn_sys | fisc_yr | amt |
|---|---|---|---|
| 20200116 | City Actuarial Systems | 2020 | 9733181 |
| 20200116 | City Actuarial Systems | 2021 | 9827428 |
| 20200116 | City Actuarial Systems | 2022 | 10304426 |
| 20200116 | City Actuarial Systems | 2023 | 10338237 |
| 20200116 | City Actuarial Systems | 2024 |
The machine field names SoQL needs, with the publisher's own description of each.
| Field | Type | Description | Null | Values |
|---|---|---|---|---|
pub_dt | categorical | 8-digit number for date of publication | 0% | 202301122020041620250501of 14 |
pnsn_sys | categorical | Breakdown of pension systems into three categories: City Actuarial Systems, Non-City Systems and Non-Actuarial Systems | 0% | Non-ActuarialNon-City SystemsCity Actuarial Systemsof 3 |
fisc_yr | categorical | 4-digit to identify fiscal year of data observation | 0% | 202620252024of 11 |
amt | integer | The pension expenses for each category in the given fiscal year | 0% |
GET /api/datasets/95bz-ea2t GET /api/datasets/95bz-ea2t/quality GET /api/datasets/95bz-ea2t/related GET /api/columns?dataset=95bz-ea2t
pub_dtpub_dtfisc_yr| 9988679 |
| 20200116 | Non-City Systems | 2020 | 98034 |
| 20200116 | Non-City Systems | 2021 | 111424 |
| 20200116 | Non-City Systems | 2022 | 117305 |
| 20200116 | Non-City Systems | 2023 | 119247 |
| 20200116 | Non-City Systems | 2024 | 122871 |
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