Datasets:

richardcieplechowicz
/

tampa-bay-vacancy-composition-zcta-2020-2024

zcta int64 33.5k 34.7k	assigned_county stringclasses 4 values	population float64 891 74.8k	housing_units float64 0 28.3k	occupied_units float64 0 27.1k	vacant_units float64 0 5.61k	vacant_units_moe_90pct float64 15 620	for_rent_units float64 0 1.34k	for_rent_moe_90pct float64 8 388	rented_not_occupied_units float64 0 434	for_sale_only_units float64 0 510	sold_not_occupied_units float64 0 268	seasonal_recreational_occasional_units float64 0 4.1k	seasonal_moe_90pct float64 15 522	migrant_worker_units float64 0 88	other_vacant_units float64 0 1.71k	other_vacant_moe_90pct float64 15 358	vacancy_rate_pct float64 0 57.3 ⌀	for_rent_share_of_vacant_pct float64 0 100 ⌀	seasonal_share_of_vacant_pct float64 0 100 ⌀	small_vacant_base_flag stringclasses 2 values
33,503	Hillsborough	891	184	184	0	15	0	15	0	0	0	0	15	0	0	15	0	null	null	yes
33,510	Hillsborough	30,578	12,107	11,589	518	244	189	124	0	34	0	45	50	0	250	175	4.3	36.5	8.7	no
33,511	Hillsborough	62,138	24,929	23,293	1,636	522	844	388	109	142	38	202	134	0	301	156	6.6	51.6	12.3	no
33,523	Pasco	19,435	8,007	6,803	1,204	318	155	104	57	109	51	357	202	0	475	192	15	12.9	29.7	no
33,525	Pasco	21,077	9,069	8,064	1,005	310	80	84	59	236	0	459	226	0	171	108	11.1	8	45.7	no
33,527	Hillsborough	17,364	6,047	5,445	602	233	92	75	34	61	32	101	97	26	256	180	10	15.3	16.8	no
33,534	Hillsborough	17,740	6,232	5,728	504	204	146	141	18	137	53	0	24	0	150	127	8.1	29	0	no
33,540	Pasco	11,390	6,047	4,822	1,225	357	0	24	0	89	57	748	251	0	331	205	20.3	0	61.1	no
33,541	Pasco	24,654	14,713	10,970	3,743	542	208	159	6	221	197	2,561	485	0	550	204	25.4	5.6	68.4	no
33,542	Pasco	23,612	13,596	10,587	3,009	448	326	171	0	101	179	1,841	394	0	562	211	22.1	10.8	61.2	no
33,543	Pasco	40,648	15,201	14,037	1,164	355	271	185	0	0	126	331	171	0	436	250	7.7	23.3	28.4	no
33,544	Pasco	29,901	10,714	9,953	761	323	234	175	45	14	0	80	92	0	388	249	7.1	30.7	10.5	no
33,545	Pasco	30,222	10,305	9,334	971	339	126	143	0	141	124	337	243	0	243	194	9.4	13	34.7	no
33,547	Hillsborough	31,431	10,215	9,689	526	274	101	116	0	47	7	159	133	0	212	157	5.1	19.2	30.2	no
33,548	Hillsborough	8,967	3,040	2,982	58	48	0	21	32	26	0	0	21	0	0	21	1.9	0	0	yes
33,549	Hillsborough	18,178	7,642	7,166	476	208	156	123	98	88	43	0	24	0	91	96	6.2	32.8	0	no
33,556	Hillsborough	35,755	12,968	12,236	732	257	153	132	0	36	41	252	172	0	250	173	5.6	20.9	34.4	no
33,558	Hillsborough	33,165	12,333	11,901	432	202	111	121	32	0	29	145	105	0	115	115	3.5	25.7	33.6	no
33,559	Hillsborough	18,831	7,510	7,110	400	230	199	184	0	58	0	0	24	0	143	112	5.3	49.8	0	no
33,563	Hillsborough	25,896	10,549	9,617	932	256	165	122	59	12	37	306	165	0	353	171	8.8	17.7	32.8	no
33,565	Hillsborough	18,108	7,125	6,274	851	237	20	32	0	181	68	149	121	88	345	166	11.9	2.4	17.5	no
33,566	Hillsborough	24,521	8,389	8,110	279	132	25	39	70	44	0	21	34	0	119	89	3.3	9	7.5	yes
33,567	Hillsborough	12,562	4,286	3,860	426	192	51	80	40	16	32	12	20	18	257	144	9.9	12	2.8	no
33,569	Hillsborough	27,867	10,902	10,092	810	259	165	105	29	90	102	122	152	0	302	181	7.4	20.4	15.1	no
33,570	Hillsborough	33,319	14,927	12,322	2,605	515	535	287	107	170	194	1,423	327	0	176	128	17.5	20.5	54.6	no
33,572	Hillsborough	26,495	10,978	10,120	858	317	58	90	0	32	92	553	268	0	123	120	7.8	6.8	64.5	no
33,573	Hillsborough	35,362	18,232	16,422	1,810	375	296	169	0	197	238	935	263	0	144	123	9.9	16.4	51.7	no
33,574	Pasco	1,822	0	0	0	15	0	15	0	0	0	0	15	0	0	15	null	null	null	yes
33,576	Pasco	6,273	3,195	2,911	284	196	5	8	0	0	84	124	107	0	71	112	8.9	1.8	43.7	yes
33,578	Hillsborough	60,651	26,117	23,849	2,268	485	1,220	371	299	28	140	254	133	0	327	244	8.7	53.8	11.2	no
33,579	Hillsborough	49,470	16,192	15,548	644	333	315	279	45	98	27	105	109	0	54	87	4	48.9	16.3	no
33,584	Hillsborough	28,579	11,123	10,462	661	237	158	140	86	88	0	125	104	0	204	133	5.9	23.9	18.9	no
33,592	Hillsborough	12,333	5,014	4,435	579	204	93	79	63	0	71	98	82	9	245	117	11.5	16.1	16.9	no
33,594	Hillsborough	37,361	14,062	13,297	765	289	397	210	0	34	35	128	111	0	171	139	5.4	51.9	16.7	no
33,596	Hillsborough	27,757	10,438	10,131	307	181	60	97	0	7	95	35	57	0	110	85	2.9	19.5	11.4	no
33,598	Hillsborough	32,820	10,287	9,964	323	150	0	32	0	94	0	147	139	0	82	80	3.1	0	45.5	no
33,602	Hillsborough	21,452	13,017	11,907	1,110	296	427	172	42	80	48	283	195	0	230	108	8.5	38.5	25.5	no
33,603	Hillsborough	19,869	9,581	8,721	860	188	217	97	39	119	25	123	82	23	314	133	9	25.2	14.3	no
33,604	Hillsborough	40,055	17,409	15,839	1,570	304	369	147	72	289	50	324	166	0	466	163	9	23.5	20.6	no
33,605	Hillsborough	16,030	8,943	7,407	1,536	293	295	122	0	98	54	267	140	0	822	230	17.2	19.2	17.4	no
33,606	Hillsborough	24,570	11,406	9,885	1,521	320	414	204	142	113	35	727	236	0	90	82	13.3	27.2	47.8	no
33,607	Hillsborough	25,291	13,538	12,017	1,521	318	237	109	85	175	0	516	228	0	508	174	11.2	15.6	33.9	no
33,609	Hillsborough	18,535	9,429	8,569	860	273	149	131	0	220	69	244	111	0	178	142	9.1	17.3	28.4	no
33,610	Hillsborough	46,587	18,287	16,849	1,438	335	443	220	142	158	118	240	139	0	337	153	7.9	30.8	16.7	no
33,611	Hillsborough	36,810	19,334	18,047	1,287	313	207	134	84	163	148	376	214	0	309	184	6.7	16.1	29.2	no
33,612	Hillsborough	49,005	21,489	19,020	2,469	411	1,341	300	116	183	104	222	135	0	503	168	11.5	54.3	9	no
33,613	Hillsborough	37,591	18,399	16,515	1,884	411	1,061	268	434	53	30	103	88	0	203	113	10.2	56.3	5.5	no
33,614	Hillsborough	47,298	20,143	18,429	1,714	371	688	271	0	150	39	144	113	0	693	203	8.5	40.1	8.4	no
33,615	Hillsborough	47,245	20,110	18,335	1,775	460	584	274	112	31	0	397	259	0	651	312	8.8	32.9	22.4	no
33,616	Hillsborough	15,830	7,425	6,847	578	191	222	135	39	0	45	205	139	0	67	58	7.8	38.4	35.5	no
33,617	Hillsborough	47,851	21,951	20,162	1,789	333	949	291	260	86	0	199	135	0	295	160	8.1	53	11.1	no
33,618	Hillsborough	27,771	12,450	11,857	593	258	323	203	22	116	0	94	114	0	38	48	4.8	54.5	15.9	no
33,619	Hillsborough	41,396	16,050	15,012	1,038	301	369	160	56	24	94	187	156	0	308	183	6.5	35.5	18	no
33,620	Hillsborough	7,298	34	34	0	21	0	21	0	0	0	0	21	0	0	21	0	null	null	yes
33,621	Hillsborough	2,393	565	497	68	45	68	45	0	0	0	0	15	0	0	15	12	100	0	yes
33,624	Hillsborough	41,346	15,960	15,613	347	152	133	112	48	36	2	55	67	0	73	63	2.2	38.3	15.9	no
33,625	Hillsborough	29,967	11,948	11,398	550	277	314	230	0	0	0	0	28	0	236	177	4.6	57.1	0	no
33,626	Hillsborough	30,575	12,516	12,053	463	218	327	203	32	9	47	0	32	0	48	45	3.7	70.6	0	no
33,629	Hillsborough	27,710	11,330	10,746	584	261	56	75	0	27	132	17	27	0	352	214	5.2	9.6	2.9	no
33,634	Hillsborough	21,862	8,272	7,801	471	231	317	182	20	62	0	38	62	0	34	54	5.7	67.3	8.1	no
33,635	Hillsborough	19,134	8,205	7,669	536	263	60	97	15	51	133	125	128	0	152	100	6.5	11.2	23.3	no
33,637	Hillsborough	17,658	8,274	7,801	473	248	181	160	0	76	0	0	24	0	216	151	5.7	38.3	0	no
33,647	Hillsborough	74,844	28,268	27,121	1,147	290	594	237	63	86	30	166	118	0	208	141	4.1	51.8	14.5	no
33,701	Pinellas	18,823	13,642	10,549	3,093	477	940	282	67	85	0	919	298	0	1,082	248	22.7	30.4	29.7	no
33,702	Pinellas	31,294	16,105	14,031	2,074	335	581	231	23	130	0	792	197	0	548	219	12.9	28	38.2	no
33,703	Pinellas	25,264	12,346	11,174	1,172	364	184	178	0	159	94	265	190	0	470	215	9.5	15.7	22.6	no
33,704	Pinellas	16,232	8,879	7,756	1,123	272	243	119	0	67	71	347	123	0	395	171	12.6	21.6	30.9	no
33,705	Pinellas	27,939	15,259	12,288	2,971	440	390	157	56	98	33	752	260	0	1,642	339	19.5	13.1	25.3	no
33,706	Pinellas	15,298	14,424	8,815	5,609	415	647	191	45	108	19	4,096	450	0	694	257	38.9	11.5	73	no
33,707	Pinellas	24,324	16,826	12,806	4,020	419	236	126	141	81	179	2,384	371	0	999	296	23.9	5.9	59.3	no
33,708	Pinellas	15,060	13,304	7,926	5,378	434	870	238	115	300	96	3,370	401	0	627	187	40.4	16.2	62.7	no
33,709	Pinellas	25,050	13,377	11,027	2,350	341	121	86	181	171	0	1,271	298	0	606	227	17.6	5.1	54.1	no
33,710	Pinellas	33,796	16,712	14,929	1,783	367	333	194	116	128	103	536	209	0	567	220	10.7	18.7	30.1	no
33,711	Pinellas	20,013	9,783	7,222	2,561	393	185	112	23	115	105	813	250	16	1,304	316	26.2	7.2	31.7	no
33,712	Pinellas	27,142	13,026	10,676	2,350	408	272	161	94	98	34	142	92	0	1,710	336	18	11.6	6	no
33,713	Pinellas	31,729	16,485	14,781	1,704	360	299	166	27	217	74	418	159	0	669	235	10.3	17.5	24.5	no
33,714	Pinellas	19,227	9,828	8,293	1,535	330	295	165	31	81	0	673	251	0	455	179	15.6	19.2	43.8	no
33,715	Pinellas	8,032	7,069	4,126	2,943	375	88	71	0	128	32	2,476	356	0	219	111	41.6	3	84.1	no
33,716	Pinellas	19,328	11,702	10,314	1,388	364	575	278	169	0	0	312	163	0	332	201	11.9	41.4	22.5	no
33,755	Pinellas	27,476	11,901	10,250	1,651	363	329	165	104	41	138	606	220	0	433	215	13.9	19.9	36.7	no
33,756	Pinellas	32,201	15,269	12,960	2,309	455	342	171	169	187	77	1,230	327	0	304	187	15.1	14.8	53.3	no
33,759	Pinellas	17,557	8,731	7,625	1,106	346	351	188	26	99	47	411	232	0	172	121	12.7	31.7	37.2	no
33,760	Pinellas	20,501	8,982	7,703	1,279	260	249	164	147	40	0	558	177	26	259	129	14.2	19.5	43.6	no
33,761	Pinellas	18,290	9,681	8,457	1,224	293	143	125	112	36	84	793	240	0	56	65	12.6	11.7	64.8	no
33,762	Pinellas	5,063	3,014	2,589	425	191	12	18	0	0	0	262	162	11	140	93	14.1	2.8	61.6	no
33,763	Pinellas	21,146	11,557	10,121	1,436	371	181	146	26	23	137	970	346	0	99	75	12.4	12.6	67.5	no
33,764	Pinellas	27,311	15,048	12,395	2,653	372	283	135	63	186	58	1,649	390	0	414	148	17.6	10.7	62.2	no
33,765	Pinellas	13,808	6,827	6,006	821	259	249	156	191	0	67	243	164	0	71	70	12	30.3	29.6	no
33,767	Pinellas	8,081	8,842	4,433	4,409	412	479	176	116	86	70	3,183	409	0	475	217	49.9	10.9	72.2	no
33,770	Pinellas	25,368	13,951	11,563	2,388	359	428	177	68	171	117	977	237	0	627	216	17.1	17.9	40.9	no
33,771	Pinellas	27,596	17,029	13,190	3,839	534	498	240	53	183	0	2,297	424	0	808	291	22.5	13	59.8	no
33,772	Pinellas	23,733	12,421	10,582	1,839	376	172	113	20	188	86	980	271	0	393	177	14.8	9.4	53.3	no
33,773	Pinellas	16,741	8,350	7,100	1,250	298	57	68	55	0	50	685	189	0	403	226	15	4.6	54.8	no
33,774	Pinellas	19,799	10,333	8,420	1,913	401	387	230	73	157	23	1,103	260	0	170	140	18.5	20.2	57.7	no
33,776	Pinellas	12,556	5,381	4,947	434	146	67	77	0	0	65	177	123	0	125	93	8.1	15.4	40.8	no
33,777	Pinellas	18,582	8,328	7,416	912	234	131	105	0	17	8	576	203	0	180	123	11	14.4	63.2	no
33,778	Pinellas	16,807	8,208	6,836	1,372	296	184	113	31	144	72	737	220	0	204	107	16.7	13.4	53.7	no
33,781	Pinellas	28,072	12,429	10,859	1,570	391	248	144	186	57	57	507	185	0	515	218	12.6	15.8	32.3	no
33,782	Pinellas	22,461	10,849	9,557	1,292	296	138	111	40	13	60	480	190	0	561	244	11.9	10.7	37.2	no
33,785	Pinellas	4,907	5,983	2,555	3,428	243	858	202	73	85	25	2,166	252	0	221	124	57.3	25	63.2	no

End of preview. Expand in Data Studio

Tampa Bay vacancy composition by ZCTA, 2020-2024

Author: Richard (Ryszard) Cieplechowicz. DOI: https://doi.org/10.5281/zenodo.23114340 . Study page: https://richardcieplechowicz.com/ . Also on Figshare: https://doi.org/10.6084/m9.figshare.34062054.v1 Richard Cieplechowicz (also legally known as Ryszard Cieplechowicz) · September 29, 2026

A vacancy rate alone does not say why housing units are vacant. In the 132 Tampa Bay ZIP Code Tabulation Areas (ZCTAs) selected for the existing housing dataset, the American Community Survey (ACS) estimates 184,380 vacant housing units out of 1,513,832 total units. Of the estimated vacant units, 81,351 (44.1%) are classified as seasonal, recreational, or occasional use and 33,244 (18.0%) as for rent. The categories are survey estimates, not a count of available homes today.

The four-county selection includes 53 ZCTAs assigned to Hillsborough, 47 to Pinellas, 23 to Pasco, and 9 to Hernando. The estimated seasonal/recreational/occasional share of vacant units is 21.5%, 52.2%, 53.7%, and 45.5%, respectively. Those are descriptive ratios of summed ZCTA estimates, not countywide vacancy estimates or precise comparisons. In particular, this table should not be read as a measure of rental inventory.

Source and method

Source: U.S. Census Bureau, 2020-2024 ACS five-year detailed table B25004, Vacancy Status, and B25002, Occupancy Status. The estimates and 90% margins of error were retrieved through Census Reporter's API, an access layer, not the data author. The source response and derived CSV were validated locally. The downloadable files and scripts are not yet attached here; this README is a study write-up, not a reproducible public package yet.

The 132 ZCTAs and assigned county come from the prior Tampa Bay housing and rent dataset. That selection uses 2020 Census ZCTA-to-county relationships, choosing the county with the greatest land-area share, and requires at least 500 residents. A ZCTA can cross county borders. These sums do not cover every ZCTA or all addresses in each county.

For every row, vacant_units agrees between B25002 and B25004, and the seven B25004 categories sum to the B25004 total. The vacancy rate matches the prior published CSV. Shares are category counts divided by B25004 vacant units, rounded to one decimal; shares are blank if no vacant units are estimated. The quality flag marks fewer than 300 estimated vacant units, an analytic caution rather than an official Census flag.

Fields

zcta, assigned_county, population: the prior selection and population context; ZCTA is not the USPS delivery ZIP.
housing_units, occupied_units, vacant_units, vacant_units_moe_90pct: ACS B25002 estimates and published 90% margin of error for vacancy.
for_rent_units, rented_not_occupied_units, for_sale_only_units, sold_not_occupied_units, seasonal_recreational_occasional_units, migrant_worker_units, other_vacant_units: seven B25004 estimates.
for_rent_moe_90pct, seasonal_moe_90pct, other_vacant_moe_90pct: published ACS 90% margins of error for selected categories; other category MOEs are available from the linked ACS source table.
vacancy_rate_pct: B25002 vacant units / total housing units.
for_rent_share_of_vacant_pct, seasonal_share_of_vacant_pct: B25004 category count / B25004 vacant total, rounded. These are not rental vacancy rates. Derived ratios have no computed margin of error here.
small_vacant_base_flag: yes under 300 estimated vacant units.

Limits

The ACS 2020-2024 five-year period is not current property availability. B25004 "for rent" is a vacancy-status classification, not a listing scrape; "seasonal, recreational, or occasional use" does not prove any unit is available to rent. ACS samples have uncertainty, particularly for small ZCTAs; margins of error on sums or derived shares have not been calculated, so differences may not be meaningful. Zero estimates can have nonzero margins of error. Census geography and the selected ZCTA-to-county assignment limit county interpretations. Do not average ZCTA shares or infer an individual's situation from these area-level measures.

Reproduce and cite

The CSV, raw response and scripts remain pending upload. Their computations were checked locally against the Census Reporter release and prior CSV. Source data: U.S. Census Bureau, 2020-2024 ACS five-year detailed tables B25002 and B25004. The compilation is CC BY 4.0; Census source data are public domain. Suggested citation: Cieplechowicz, Richard (Ryszard). Tampa Bay vacancy composition by ZCTA, 2020-2024 (2026).

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