Colombian Population in New Jersey by City : 2025 Ranking & Insights

The Colombian population in New Jersey totals 149,102, according to recent U.S. Census estimates. Leading cities include Elizabeth (15,443), followed by Paterson (6,218) and North Bergen township (5,356), each hosting visible segments of the community. While these urban centers anchor much of the population, the statewide total points to a broader presence in unincorporated areas and smaller towns beyond major city boundaries. The analysis below explores how Colombian residents are distributed across New Jersey''s urban and rural landscape.

Top 5 cities with the largest Colombian population in New Jersey

  • 1
    Elizabeth
    Colombian population in Elizabeth is 15,443
    11.36% of Elizabeth population is Colombian
  • 2
    Paterson
    Colombian population in Paterson is 6,218
    3.94% of Paterson population is Colombian
  • 3
    North Bergen township
    Colombian population in North Bergen township is 5,356
    8.75% of North Bergen township population is Colombian
  • 4
    Clifton
    Colombian population in Clifton is 4,931
    5.53% of Clifton population is Colombian
  • 5
    Union City
    Colombian population in Union City is 3,438
    5.18% of Union City population is Colombian

Overview of Colombian population in New Jersey

  • Population Count and Percentage: American Community Survey documents New Jersey with 149,102 Colombian residents (1.6% of 9.3 million total state population), ranking the state at the 95th percentile nationally among U.S. jurisdictions for Colombian demographic representation.
  • Comparison to State and National Averages: U.S. Census data records indicate New Jersey's Colombian population of 1.6% exceeds the national average of 0.44% by a factor of 3.7.
  • Share of Total National Population: Official American Community Survey data indicates New Jersey's 149,102 Colombian residents constitute 10.2% of the nation's total Colombian population of 1.5 million, placing the state among jurisdictions with the highest demographic concentrations, with 10.2% of all American Colombian Americans residing within state boundaries.
  • Population Density per Square Mile: U.S. Census Bureau's American Community Survey data shows New Jersey maintains 20.3 Colombian Americans per square mile, representing just over forty-nine times the national average of 0.41 per square mile, placing the state among jurisdictions with the highest demographic concentrations nationally.
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552 Cities in New Jersey Ranked by Colombian Population

American Community Survey data [1] show Colombian population in New Jersey present in Elizabeth, Paterson, and North Bergen township, along with several other incorporated cities reporting non-zero populations. The table below provides broader statistics, including total population figures, density measures, and demographic distributions based on current ACS data for all incorporated cities included in this analysis*.
cities in New Jersey ranked by Colombian population count
Rank by Colombian Population
City
Colombian Population
% of Total City Population
% of Total New Jersey Colombian Population
5 Year Rank Trend
1 Elizabeth 15,443 11.36% 10.36%
2 Paterson 6,218 3.94% 4.17%
3 North Bergen township 5,356 8.75% 3.59%
4 Clifton 4,931 5.53% 3.31%
5 Union City 3,438 5.18% 2.31%
6 West New York 3,246 6.28% 2.18%
7 Jersey City 3,137 1.08% 2.10%
8 3,054 7.00% 2.05%
9 2,804 15.22% 1.88%
10 2,506 8.54% 1.68%
11 1,941 0.63% 1.30%
12 1,680 1.62% 1.13%
13 1,679 3.08% 1.13%
14 1,609 5.69% 1.08%
15 1,567 6.91% 1.05%
16 1,445 5.57% 0.97%
17 1,428 2.36% 0.96%
18 1,425 3.51% 0.96%
19 1,381 1.50% 0.93%
20 1,367 4.21% 0.92%
21 1,333 6.80% 0.89%
22 1,324 1.24% 0.89%
23 1,316 2.48% 0.88%
24 1,247 17.19% 0.84%
25 1,195 1.70% 0.80%
26 1,165 5.19% 0.78%
27 1,088 1.56% 0.73%
28 1,000 1.86% 0.67%
29 991 5.29% 0.66%
30 974 2.13% 0.65%
31 948 1.58% 0.64%
32 925 6.20% 0.62%
33 903 1.83% 0.61%
34 883 3.82% 0.59%
35 869 1.15% 0.58%
36 860 1.87% 0.58%
37 849 1.51% 0.57%
38 842 1.92% 0.56%
39 829 3.13% 0.56%
40 827 1.99% 0.55%
41 807 1.33% 0.54%
42 793 1.43% 0.53%
43 785 7.19% 0.53%
44 764 1.76% 0.51%
45 763 2.02% 0.51%
46 745 1.39% 0.50%
47 730 6.05% 0.49%
48 718 4.95% 0.48%
49 712 2.39% 0.48%
50 703 22.63% 0.47%
51 692 7.44% 0.46%
52 686 3.20% 0.46%
52 686 1.42% 0.46%
53 665 5.05% 0.45%
54 656 5.46% 0.44%
55 644 0.86% 0.43%
56 641 3.55% 0.43%
57 639 2.21% 0.43%
58 622 1.56% 0.42%
59 613 3.72% 0.41%
59 613 2.31% 0.41%
60 610 1.28% 0.41%
60 610 0.89% 0.41%
61 597 31.57% 0.40%
62 592 2.93% 0.40%
62 592 0.66% 0.40%
63 590 4.08% 0.40%
64 589 6.47% 0.40%
65 588 1.98% 0.39%
66 574 0.98% 0.39%
67 572 2.69% 0.38%
68 568 4.88% 0.38%
69 544 2.13% 0.36%
70 525 3.76% 0.35%
71 523 0.78% 0.35%
72 517 2.55% 0.35%
73 513 3.58% 0.34%
74 508 1.32% 0.34%
75 496 0.51% 0.33%
76 492 0.36% 0.33%
77 475 1.84% 0.32%
78 470 1.58% 0.32%
79 456 2.70% 0.31%
80 450 4.44% 0.30%
81 447 11.19% 0.30%
82 438 4.23% 0.29%
83 429 1.22% 0.29%
84 422 4.64% 0.28%
85 418 1.88% 0.28%
86 414 0.60% 0.28%
87 413 5.77% 0.28%
88 409 2.41% 0.27%
89 394 1.63% 0.26%
90 393 2.40% 0.26%
91 388 2.99% 0.26%
92 387 4.42% 0.26%
92 387 2.91% 0.26%
93 367 0.66% 0.25%
93 367 2.16% 0.25%
94 362 6.13% 0.24%
95 361 3.32% 0.24%
96 360 0.81% 0.24%
97 359 5.71% 0.24%
98 354 2.21% 0.24%
99 350 1.39% 0.23%
100 346 0.92% 0.23%
101 344 1.44% 0.23%
102 341 3.12% 0.23%
103 338 0.72% 0.23%
104 331 1.23% 0.22%
105 329 0.55% 0.22%
106 326 0.82% 0.22%
107 320 1.09% 0.21%
108 313 0.69% 0.21%
109 312 3.99% 0.21%
110 309 3.46% 0.21%
111 298 1.74% 0.20%
112 292 1.52% 0.20%
113 286 1.41% 0.19%
114 284 1.46% 0.19%
115 280 2.88% 0.19%
116 273 2.75% 0.18%
117 268 1.79% 0.18%
118 266 8.08% 0.18%
119 252 3.27% 0.17%
120 250 3.05% 0.17%
121 248 2.17% 0.17%
122 242 1.17% 0.16%
123 239 2.35% 0.16%
123 239 0.92% 0.16%
124 237 0.35% 0.16%
125 236 0.96% 0.16%
126 235 0.93% 0.16%
126 235 8.48% 0.16%
127 232 2.87% 0.16%
128 230 1.61% 0.15%
129 226 0.76% 0.15%
130 222 2.78% 0.15%
131 220 0.68% 0.15%
131 220 1.01% 0.15%
132 218 0.98% 0.15%
133 215 0.44% 0.14%
134 211 2.10% 0.14%
135 210 1.36% 0.14%
135 210 1.02% 0.14%
135 210 2.43% 0.14%
136 209 2.72% 0.14%
137 207 0.50% 0.14%
137 207 1.41% 0.14%
138 205 0.66% 0.14%
139 202 2.08% 0.14%
140 199 1.04% 0.13%
140 199 0.81% 0.13%
141 197 1.79% 0.13%
142 193 3.32% 0.13%
143 192 0.85% 0.13%
144 191 1.89% 0.13%
145 189 1.49% 0.13%
146 188 0.61% 0.13%
147 187 3.19% 0.13%
147 187 2.05% 0.13%
147 187 0.97% 0.13%
148 186 2.99% 0.12%
148 186 2.02% 0.12%
149 175 0.63% 0.12%
150 171 0.94% 0.11%
151 170 0.73% 0.11%
151 170 0.76% 0.11%
152 164 0.65% 0.11%
153 163 0.23% 0.11%
154 162 1.23% 0.11%
155 161 1.60% 0.11%
156 158 3.20% 0.11%
157 156 1.07% 0.10%
158 155 1.00% 0.10%
159 152 0.65% 0.10%
159 152 0.50% 0.10%
160 150 1.36% 0.10%
161 149 2.80% 0.10%
162 148 3.69% 0.10%
162 148 0.56% 0.10%
163 145 0.95% 0.10%
164 144 0.45% 0.10%
165 142 1.05% 0.10%
165 142 1.82% 0.10%
165 142 0.66% 0.10%
166 139 1.71% 0.09%
167 138 0.47% 0.09%
168 137 0.34% 0.09%
169 134 5.30% 0.09%
170 132 1.71% 0.09%
171 130 2.69% 0.09%
172 129 0.48% 0.09%
173 127 0.27% 0.09%
174 126 1.05% 0.08%
175 125 0.56% 0.08%
176 123 1.77% 0.08%
176 123 0.39% 0.08%
177 122 0.67% 0.08%
178 116 1.50% 0.08%
178 116 0.33% 0.08%
179 115 0.41% 0.08%
180 114 0.73% 0.08%
181 113 1.37% 0.08%
182 112 0.66% 0.08%
183 111 0.89% 0.07%
183 111 0.73% 0.07%
184 110 3.10% 0.07%
185 108 0.24% 0.07%
186 107 0.45% 0.07%
187 106 0.30% 0.07%
188 105 0.79% 0.07%
188 105 0.23% 0.07%
189 104 0.28% 0.07%
189 104 0.52% 0.07%
189 104 0.88% 0.07%
190 103 1.23% 0.07%
191 102 0.26% 0.07%
192 98 0.89% 0.07%
193 97 0.86% 0.07%
194 96 1.49% 0.06%
195 95 0.81% 0.06%
196 93 0.81% 0.06%
196 93 1.12% 0.06%
196 93 1.55% 0.06%
197 89 2.27% 0.06%
198 88 0.82% 0.06%
199 87 1.52% 0.06%
199 87 0.59% 0.06%
199 87 0.55% 0.06%
200 86 1.05% 0.06%
201 85 0.35% 0.06%
202 81 0.68% 0.05%
203 80 0.73% 0.05%
204 78 0.52% 0.05%
205 77 3.84% 0.05%
206 76 2.15% 0.05%
207 75 1.72% 0.05%
207 75 0.38% 0.05%
207 75 0.16% 0.05%
208 74 0.31% 0.05%
208 74 0.24% 0.05%
209 73 0.55% 0.05%
209 73 0.85% 0.05%
210 71 0.40% 0.05%
211 70 0.60% 0.05%
212 69 0.99% 0.05%
212 69 0.66% 0.05%
213 66 0.27% 0.04%
213 66 0.44% 0.04%
213 66 0.38% 0.04%
214 65 0.48% 0.04%
215 64 1.34% 0.04%
216 61 2.71% 0.04%
216 61 0.66% 0.04%
217 60 1.04% 0.04%
217 60 0.82% 0.04%
218 57 0.98% 0.04%
219 56 1.27% 0.04%
219 56 1.15% 0.04%
219 56 1.02% 0.04%
219 56 0.66% 0.04%
220 55 1.02% 0.04%
220 55 0.50% 0.04%
221 53 0.62% 0.04%
221 53 0.53% 0.04%
221 53 0.33% 0.04%
221 53 0.24% 0.04%
222 52 1.39% 0.03%
223 50 0.62% 0.03%
224 48 0.07% 0.03%
224 48 0.35% 0.03%
224 48 0.52% 0.03%
225 47 0.55% 0.03%
226 46 0.17% 0.03%
227 45 1.02% 0.03%
228 44 0.46% 0.03%
228 44 0.35% 0.03%
229 41 0.47% 0.03%
229 41 0.31% 0.03%
229 41 0.55% 0.03%
229 41 0.38% 0.03%
230 40 1.20% 0.03%
230 40 0.48% 0.03%
231 39 0.56% 0.03%
231 39 0.14% 0.03%
232 38 5.42% 0.03%
232 38 0.17% 0.03%
232 38 1.03% 0.03%
233 36 0.73% 0.02%
233 36 0.24% 0.02%
233 36 0.64% 0.02%
234 35 0.25% 0.02%
234 35 0.55% 0.02%
234 35 0.57% 0.02%
235 34 3.21% 0.02%
236 33 0.19% 0.02%
236 33 1.07% 0.02%
237 32 0.25% 0.02%
237 32 0.61% 0.02%
238 30 1.19% 0.02%
238 30 4.75% 0.02%
238 30 0.52% 0.02%
239 28 0.28% 0.02%
240 27 0.35% 0.02%
240 27 0.43% 0.02%
240 27 0.08% 0.02%
240 27 1.01% 0.02%
240 27 0.27% 0.02%
240 27 0.66% 0.02%
241 26 1.73% 0.02%
241 26 1.02% 0.02%
241 26 1.00% 0.02%
242 25 0.27% 0.02%
242 25 0.38% 0.02%
243 24 0.29% 0.02%
243 24 0.12% 0.02%
244 23 0.13% 0.02%
244 23 0.42% 0.02%
245 22 0.60% 0.01%
245 22 0.76% 0.01%
245 22 0.53% 0.01%
245 22 0.55% 0.01%
246 21 1.09% 0.01%
246 21 1.26% 0.01%
247 20 0.49% 0.01%
247 20 1.46% 0.01%
248 19 1.42% 0.01%
248 19 0.58% 0.01%
249 18 0.20% 0.01%
249 18 0.65% 0.01%
249 18 0.38% 0.01%
249 18 0.14% 0.01%
250 17 0.29% 0.01%
250 17 0.11% 0.01%
251 16 0.25% 0.01%
251 16 0.37% 0.01%
252 15 0.64% 0.01%
252 15 0.02% 0.01%
252 15 0.24% 0.01%
253 14 1.31% 0.01%
253 14 0.09% 0.01%
253 14 0.17% 0.01%
253 14 0.10% 0.01%
254 12 0.09% 0.01%
254 12 0.24% 0.01%
254 12 0.03% 0.01%
255 11 0.12% 0.01%
255 11 0.20% 0.01%
256 10 0.03% 0.01%
256 10 0.43% 0.01%
256 10 1.77% 0.01%
257 9 0.29% 0.01%
257 9 0.30% 0.01%
257 9 0.37% 0.01%
257 9 0.19% 0.01%
257 9 0.32% 0.01%
258 8 0.67% 0.01%
258 8 0.18% 0.01%
258 8 0.47% 0.01%
258 8 0.20% 0.01%
258 8 0.09% 0.01%
259 7 0.06% 0.00%
259 7 0.62% 0.00%
259 7 0.22% 0.00%
259 7 0.24% 0.00%
260 6 0.64% 0.00%
260 6 0.04% 0.00%
260 6 0.21% 0.00%
260 6 0.20% 0.00%
260 6 0.27% 0.00%
261 5 0.28% 0.00%
261 5 0.31% 0.00%
261 5 0.07% 0.00%
261 5 0.04% 0.00%
262 4 0.20% 0.00%
262 4 0.33% 0.00%
262 4 0.27% 0.00%
263 3 0.37% 0.00%
263 3 0.15% 0.00%
263 3 0.32% 0.00%
264 2 0.11% 0.00%
264 2 0.11% 0.00%
264 2 0.03% 0.00%
265 1 0.01% 0.00%
265 1 0.01% 0.00%
265 1 0.01% 0.00%
265 1 0.02% 0.00%
265 1 0.10% 0.00%
265 1 0.01% 0.00%
265 1 0.01% 0.00%
265 1 0.04% 0.00%
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
266 0 - -
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Methodology

This ranking list is based on data from the American Community Survey (ACS) 5-Year Estimates, conducted by the U.S. Census Bureau. The ACS is one of the most reliable sources for understanding population trends across different locations, and it provides estimates for various racial and ethnic groups at city, county, state and all geography levels down to the Census block group.
This list ranks city in New Jersey by their Colombian population, using the most recent ACS data available.

How the Census defines Colombian population

The U.S. Census Bureau allows people to self-identify their ancestry, meaning individuals can write upto ancestries when responding to the survey. In this ranking, we include everyone who identifies as having Colombian ancestry, whether alone or in combination with another ancestry.
Here are a few important things to know about how ancestry is reported:
  • Some people identify as Colombian alone, while others identify as Colombian along with another race (such as Colombian and German).
  • We’ve used the “Colombian alone or in any combination” category unless noted otherwise, which gives a broader picture of the Colombian population in each area.

How We Ranked the Data

This ranking is based on the total number of people who identified as Colombian alone or in combination in city. To provide additional context, we’ve also included two key percentages:
  1. % of Total City Population – This shows what percentage of the total state population identifies as Colombian .
  2. % of Total New Jersey Colombian Population – This tells us how much of the entire U.S. Colombian population lives in that state.
To keep things simple, all population numbers have been rounded to the nearest whole number, and percentages are rounded to one decimal place. Because of rounding, some percentages may not add up to exactly 100%.

Things to Keep in Mind

Like all survey-based data, ACS estimates come with some limitations. Here are a few things to be aware of:
  • In places with very small Colombian populations, the numbers may not be reported at all due to privacy protections or sampling variability in the survey.
  • Since the ACS is based on a sample, the numbers are estimates, not exact counts. That means they may slightly differ from other sources like the decennial U.S. Census.
  • City that don’t have any reported Colombian population are not included in the ranking but are listed separately below for reference.
This ranking is meant to provide a clear, data-driven look at where Colombian populations are most concentrated while keeping the numbers easy to understand.

Sources

  1. 2019-2023 5-Year Estimates.
  2. 2023.