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Table 2 Characteristics and specification of explanatory (continuous and count) variables

From: Overlapped Bayesian spatio-temporal models to detect crime spots and their possible risk factors based on the Opole Province, Poland, in the years 2015–2019

Characteristics

# of expl. var

Specification

Demographics

6

population density per 1 km2; marriages/divorces/deaths per 1 K/% of population of working age/ # of females

Living

12

# of flats per 1 K/per 1 K contracted marriages; average flat area/average of rooms in 1 flat; new residential buildings/new flat area/new flat area per 1 K

Business

10

all registered entities/per 1 K/per 1 K in working age and removed entities; newly registered entities per 1 K; natural persons in business per 1 K/per 1 K of working age; newly/all registered entities/in agri-food sector/employing up to 9 persons

Cultural

6

population per 1 library; book collection/readers of libraries per 1 K; volume of book borrowing for 1 reader; # of population engaged in public events per 1 K/per cultural and educational institution

Budget

2

budget expenditure/revenues

Employment

4

doctors/medical personnel per 10 K; doctors/medical personnel working at basic workplace per 10 K

Infrastructural

7

roads with hard surface/improved surface/per 100 km2/per 10 K; roads with hard surface/improved surface/unsurfaced in km

Automotive

4

# of motorcycles/passenger cars/trucks/tractors

Touristic

1

average daily hotel rate

Real estate

6

average for 1 m2/price/total price of residential premises sold on the primary/secondary market

Migration

6

total registration/deregistration in pre-working/working/retirement age

Total:

64

explanatory variables