Population Distribution

Population distribution by place type for Ireland. Dots show individual tagged places, with the maximum, minimum, and median population values highlighted.

Population distribution plot for Ireland
Upgrade Candidates

Places whose population is more consistent with the next-higher type's distribution than their own. Ranked by signal strength, then percentile within current type.

# Name Type Population Own %ile %ile among next higher Signal Edit OSM
1 Blanchardstown town 68,156 99% 50% Strong node/52270304
2 Rathcoole village 5,792 98% 53% Strong node/52249678
3 Ballyboden village 5,193 96% 49% Strong node/9656163942
4 Duleek village 4,899 95% 48% Strong node/52241990
5 Saggart village 4,573 93% 46% Strong node/52269866
6 Newcastle village 4,526 91% 46% Strong node/52271584
7 Courtown village 4,365 89% 46% Strong node/52270618
8 Stamullen village 3,720 88% 44% Strong node/52220623
9 Wexford town 163,919 100% 67% Weak node/52245055
10 Rathfarnham village 17,333 100% 83% Weak node/52256353
11 Tallaght town 101,055 99% 67% Weak node/1420913325
12 Clondalkin town 45,165 98% 17% Weak node/52269252
13 Drogheda town 44,135 97% 17% Weak node/52246394
14 Dundalk town 43,112 97% 17% Weak node/1430234960
15 Swords town 40,776 96% 17% Weak node/52268929
16 Dún Laoghaire town 38,761 96% 17% Weak node/3563872395
17 Navan town 33,886 95% 17% Weak node/52242301
18 Bray town 33,512 94% 17% Weak node/52241975
19 Ennis town 27,923 94% 17% Weak node/52250706
20 Carlow town 27,351 93% 17% Weak node/52253632
21 Naas town 26,180 92% 0% Weak node/1681533435
22 Tralee town 26,079 92% 0% Weak node/52254672
23 Newbridge town 24,366 91% 0% Weak node/52254526
24 Balbriggan town 24,322 90% 0% Weak node/52263471
25 Portlaoise town 23,494 90% 0% Weak node/52245817
26 Rathnew village 3,482 86% 43% Weak node/52253602
27 Castleconnell village 2,488 84% 30% Weak node/52268586
28 Rosslare Harbour village 2,247 82% 27% Weak node/31078662
29 Enniskerry village 2,000 80% 23% Weak node/52244742
Downgrade Candidates

Places whose population is more consistent with the next-lower type's distribution than their own. Ranked by signal strength, then percentile within current type.

# Name Type Population Own %ile %ile among next lower Signal Edit OSM
1 Tarbert town 546 2% 61% Strong node/52251992
2 An Cheathrú Rua town 725 3% 66% Strong node/52254033
3 Mountbellew town 774 3% 66% Strong node/52241685
4 Newtown Forbes town 851 4% 66% Strong node/52259573
5 Na Forbacha town 868 4% 68% Strong node/52230654
6 Roundstone town 231 1% 14% Weak node/52261320
7 An Spidéal town 254 1% 16% Weak node/8814861149
8 Tinahely town 1,037 5% 71% Weak node/52261386
9 Béal an Mhuirthead town 1,042 6% 71% Weak node/52218312
10 Kilcormac town 1,051 6% 73% Weak node/1430035395
11 Kilkee town 1,214 7% 75% Weak node/52256776
12 Rathkeale town 1,231 8% 77% Weak node/52257053
13 Croom town 1,240 8% 77% Weak node/52254129
14 An Clochán Liath town 1,247 9% 77% Weak node/52218286
15 Clifden town 1,259 10% 77% Weak node/52259119
16 Ferns town 1,317 10% 77% Weak node/52218993
17 Ballybay town 1,329 11% 77% Weak node/52268740
18 Stradbally town 1,404 12% 77% Weak node/52219010
19 Ballyconnell town 1,422 12% 77% Weak node/52258259
20 Aughrim town 1,437 13% 77% Weak node/52252984
21 Graiguenamanagh town 1,506 14% 77% Weak node/52234004
22 Carlingford town 1,528 14% 77% Weak node/6298259196
23 Ballybunion town 1,618 15% 77% Weak node/52231793
24 Millstreet town 1,722 15% 77% Weak node/52259498
25 Fethard town 1,738 16% 77% Weak node/52242316
26 Kilmallock town 1,761 17% 77% Weak node/52262372
27 Kinsale town 1,800 17% 79% Weak node/52259860
28 Watergrasshill town 1,840 18% 79% Weak node/52258788
29 Oughterard town 1,846 19% 79% Weak node/52268286
30 Cootehill town 1,856 19% 79% Weak node/52268890
31 Portlaw town 1,881 20% 79% Weak node/52253997
Monitor

Places that are consistent with their current type's distribution but sit at an extreme percentile within it. No reclassification signal yet, but worth revisiting as more population data is tagged.

No places in the monitor tier.