petrbouchal / systemizace

Download and process official data on the number and structure of Czech Civil service employees

systemizace

This repository contains R code to download and process official data on the organisation of public servants in the Czech central public administration - “systemizace služebních míst”.

It works with two sources of data:

1. The official tables
2. Organisational structures published as open data

Official tables

The code downloads, loads and processes the published excel files such that

• the data is in tidy format
• civil servants and employees are in one data frame
• pay grades (platové třídy) and management levels (představení) are correctly identified

See https://www.mvcr.cz/sluzba/clanek/systemizace-sluzebnich-a-pracovnich-mist.aspx. For April 2022 edition, only PDF table is provided.

Data currently available from 2018 to 2024.

Sample

Wide format

# A tibble: 3,829 × 53
     rok kapitola_kod kapitola_zkr organizace_nazev         ustredni_organ vztah
   <int> <chr>        <chr>        <chr>                    <lgl>          <chr>
 1  2018 304          ÚV           Úřad vlády ČR            TRUE           sluz 
 2  2018 306          MZV          Ministerstvo zahraniční… TRUE           sluz 
 3  2018 307          MO           Ministerstvo obrany      TRUE           sluz 
 4  2018 307          MO           KVV hlavní město Praha   FALSE          sluz 
 5  2018 307          MO           KVV Praha – Středočeský… FALSE          sluz 
 6  2018 307          MO           KVV Plzeň                FALSE          sluz 
 7  2018 307          MO           KVV České Budějovice     FALSE          sluz 
 8  2018 307          MO           KVV Karlovy Vary         FALSE          sluz 
 9  2018 307          MO           KVV Ústí nad Labem       FALSE          sluz 
10  2018 307          MO           KVV Hradec Králové       FALSE          sluz 
# ℹ 3,819 more rows
# ℹ 47 more variables: pocet_celkem <dbl>, plat_prumer <dbl>,
#   pocet_predst <dbl>, pocet_predst_01 <dbl>, pocet_predst_02 <dbl>,
#   pocet_predst_03 <dbl>, pocet_predst_04 <dbl>, pocet_predst_05 <dbl>,
#   pocet_predst_06 <dbl>, pocet_predst_07 <dbl>, pocet_predst_08 <dbl>,
#   pocet_predst_09 <dbl>, pocet_predst_10 <dbl>, pocet_predst_11 <dbl>,
#   pocet_predst_12 <dbl>, pocet_predst_13 <dbl>, pocet_predst_14 <dbl>, …

Long format - staff numbers only

# A tibble: 130,186 × 16
     rok kapitola_kod kapitola_zkr organizace_nazev ustredni_organ vztah
   <int> <chr>        <chr>        <chr>            <lgl>          <chr>
 1  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 2  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 3  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 4  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 5  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 6  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 7  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 8  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
 9  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
10  2018 304          ÚV           Úřad vlády ČR    TRUE           sluz 
# ℹ 130,176 more rows
# ℹ 10 more variables: date <date>, kapitola_nazev <chr>,
#   kapitola_vladni <lgl>, organizace_typ <chr>, kapitola_typ <chr>, src <chr>,
#   level <chr>, trida <chr>, pocet <dbl>, level_nazev <chr>

Organisational structures

These are now in a separate repository.

Technical: how to run this

Code organised as a {targets} pipeline, with packages tracked by {renv}, so can be reproduced like so:

renv::restore()
targets::tar_make()

Tidy data ready for analysis are in data-export. Codebook is TBA.

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