1. Jersey City Project Community Planning Workshop Census Data

2. Ecological Fallacy: Our data comes from an area larger than Jersey City. A compromise had to be made because some data is not available at smaller geographic areas. The latest Census data is a snapshot from 2000, so it may be less relevant today than it was years ago.

3. Jersey City's Block Group is decreasing in population, meanwhile the larger geographic regions surrounding it are increasing in population.

4. Population pyramids have been used to identify several characteristics of populations. Notice there are more males than females under the age cohort of 45-49, then there are more females in older cohorts..96 male to female ratio

5. Note that the "bulge" in population age happens at a younger age, and females outnumber males at a younger age. Error is a problem at this scale because migration between neighborhoods is more common than between countries. High dependency ratio, though that ratio will probably decrease assuming population ages in place for 20 years..88 male to female ratio Male to female ratio of child productive ages (15-44) is 1.02.

6. The best data the U.S. Census has to offer on housing value data is not quite good enough for us, but its all we've had to go on! The specific median or range of value of these units is unclear. We will be working to find out a more specific, and up-to-date value range for the development based on Jersey City's data if we are able to do it.

7. 13.6% is above the national average vacancy rate of 9% in 2000. High rates of rental and vacancy may mean housing is not taken care of as well as it might be, if it were inhabited by an owner. 40 of those vacant units are rental units, the rest consisted of units with no owner, vacation homes, renter but not occupied, or other conditions.

8. The data indicates that most owners are either paying a very low portion or very high portion of their income to housing. 42 of the 63 (2/3) census respondents that said they spent 35% or more of their income on housing also indicated they were making less than $10,000 a year.

9. The data suggests renters follow a similar pattern as owners in spending a percentage of their income on housing. Unfortunetly, the census data does not go into great detail on the extreme ends of this chart anymore. Those spending less than 20% of their income on housing are hopefully on their way to saving enough for home ownership.

10. Relatively few units have been built in the 2 decades prior to this census, and few of those are owner-occupied units. Most owner-occupied housing was built 40-60 years before the last census was taken.

11. The older rental properties may be more likely to fall into disrepair because of the age of the structure. Often, renters do not take care of a housing unit like a owner would, because renters do not have a large vested interest in the property. From other studies, there seems to be a corrolation between older structures that need more repair, and absentee landlords who see older rental property as not worth investing money to repair.