Maryland Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000 School District Rank
Based on ACS 2005-2009 data*
A total of 24 results found. Show Results on Map.
Rank | Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000 ▼ | School District / Population |
1. | 29.5% | Allegany County Public Schools / 72,598 |
2. | 24.5% | Somerset County Public Schools / 25,943 |
3. | 22.2% | Garrett County Public Schools / 29,631 |
4. | 20.1% | Baltimore City Public Schools / 639,337 |
5. | 18.3% | Wicomico County Public Schools / 92,827 |
6. | 15.9% | Worcester County Public Schools / 49,081 |
7. | 15.5% | Dorchester County Public Schools / 31,646 |
8. | 14.6% | Kent County Public Schools / 19,998 |
9. | 13.5% | Washington County Public Schools / 144,158 |
10. | 11.8% | Caroline County Public Schools / 32,727 |
11. | 10.0% | Cecil County Public Schools / 99,069 |
12. | 9.3% | Baltimore County Public Schools / 786,697 |
13. | 8.1% | Harford County Public Schools / 240,297 |
14. | 7.4% | Talbot County Public Schools / 36,034 |
15. | 6.3% | Carroll County Public Schools / 168,964 |
16. | 6.2% | Queen Annes County Public Schools / 46,653 |
17. | 5.7% | St. Marys County Public Schools / 100,140 |
18. | 5.6% | Frederick County Public Schools / 224,185 |
19. | 4.9% | Anne Arundel County Public Schools / 513,711 |
20. | 4.1% | Calvert County Public Schools / 88,055 |
21. | 4.0% | Charles County Public Schools / 140,181 |
22. | 3.5% | Prince George's County Public Schools / 834,986 |
23. | 3.4% | Howard County Public Schools / 274,328 |
24. | 3.2% | Montgomery County Public Schools / 946,172 |
Please note that we only rank locations with 'Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000' data. The rank above might not be a complete list. Locations without 'Percentage of House with a Mortgage where Monthly Holding Costs $700-$1000' data are not listed.
*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.