populationDensity
P797
predicate
Indicates the number of individuals or entities occupying a unit area within a given region.
All labels observed (10)
| Label | Occurrences |
|---|---|
| populationDensity canonical | 980 |
| hasPopulationDensityPerSquareMile | 2 |
| hasPopulationDensityPerSquareMile2020 | 1 |
| populationDensity (per square kilometer) | 1 |
| populationDensity (per square kilometer, 2010) | 1 |
| populationDensity (per square mile) | 1 |
| populationDensity (per square mile, 2010) | 1 |
| populationDensityPerSqKm | 1 |
| proposedPopulationDensity | 1 |
| צפיפות אוכלוסייה | 1 |
Description generation (PDg)
The one-sentence description above was generated by prompting gpt-5.1 with the predicate name and this instruction.
Instruction
Given a predicate that represents a relationship or action between entities, generate a one-sentence description explaining its meaning. # Instructions Focus on describing the relationship, not the entities themselves. # Response Format Begin the description with \' Indicates...\'
Input
Predicate: populationDensity
Generated description
Indicates the number of individuals or entities occupying a unit area within a given region.
Sample triples (990)
| Subject | Object |
|---|---|
| Sredny Peninsula | low ⓘ |
| Tunceli Province | sparsely populated ⓘ |
| Pecos County | low ⓘ |
| Jefferson County | rural ⓘ |
|
Maleville (commune in France)
surface form:
Maleville
|
low ⓘ |
|
Mount Clemens, Michigan, United States
surface form:
Mount Clemens, Michigan
|
over 4300 inhabitants per square mile ⓘ |
| Central Thailand | high ⓘ |
| Glascock County, Georgia | low ⓘ |
| Gascoyne region | sparse ⓘ |
| Pontgouin | low ⓘ |
| Town of Ellenburg | low ⓘ |
| Town of Clinton | low population density ⓘ |
| Bell Gardens | high ⓘ |
| Öræfi region | low ⓘ |
| Shubra district of Cairo | high ⓘ |
| Bélep Islands | sparsely populated ⓘ |
| Cotati, California | about 4100 per square mile ⓘ |
| Beauce | low ⓘ |
| Dibang Valley district | sparsely populated ⓘ |
| Andover, Maine | low ⓘ |
| northeastern Netherlands | relatively low ⓘ |
| Garfield County, Utah | one of the lowest in Utah ⓘ |
| Sleetmute, Alaska | very low ⓘ |
| Lake Angelus, Michigan | low ⓘ |
| Park County, Wyoming | low population density ⓘ |
| Lorimers | low ⓘ |
| Orangi Town | high ⓘ |
| Komandorski Islands | sparsely populated ⓘ |
| Luthersville | low ⓘ |
| Madre de Dios Region | low ⓘ |
| Washuk District | sparsely populated ⓘ |
| Oldham County, Texas | very low ⓘ |
| Reeds, Missouri | 730.8 via predicate surface "populationDensity (per square mile, 2010)" ⓘ |
| Reeds, Missouri | 282.1 via predicate surface "populationDensity (per square kilometer, 2010)" ⓘ |
| Goshen, Vermont | low ⓘ |
| McPherson County, South Dakota | sparsely populated ⓘ |
| Chalk Mountain, Texas | low ⓘ |
| Outback | very low ⓘ |
| Oxbow, Maine | low ⓘ |
| Darsa | low ⓘ |
| Outback New South Wales | very low ⓘ |
| Laurinburg, North Carolina | 1196.0 via predicate surface "populationDensity (per square mile)" ⓘ |
| Laurinburg, North Carolina | 461.7 via predicate surface "populationDensity (per square kilometer)" ⓘ |
| Isla Carmen | low ⓘ |
| Eifel (Belgium) | sparsely populated ⓘ |
| Welsh uplands | sparsely populated ⓘ |
| Crawford County, Michigan | sparsely populated ⓘ |
| No Man's Land | sparsely populated ⓘ |
|
town of Eastford, Connecticut
surface form:
Eastford, Connecticut
|
low population density ⓘ |
| Haynesville, Maine | low ⓘ |