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| RecordID | BES_24 |
| ID | |
| PublicationDate | 12/31/2009 |
| Title | Dwelling Age Statistics by Block Group, Residential Properties, 2005, MSA |
| Edition | First |
| Publication Place | Burlington, VT |
| Publisher | UVM Spatial Analysis Lab, Grove, J.M, O'Neil-Dunne, J. |
| Online Linkage | http://beslter.org/geodatabase_SAL/Census/Census.mdb |
| Abstract | Dwelling Age statistics for residential properties based on the Assessors and Taxation (A&T) Database from the 2004 edition of Maryland Property View (contains records for properties built in 2005). Residential dwellings were identified using the land use field (LU) in the A&T Database and included: commercial condominium (CC), commercial residential (CR), apartments (M), residential (R), residential commercial (RC), town house (TH), and residential condominium (U). Dwelling age was calculated by subtracting the year built (YEARBLT) in the A&T Database from 2005. Statistics include median, mean, minimum, maximum, standard deviation, along with the number of observations for each block group and the percent of these observations that were valid. Only valid observations were used to compute statistics. |
| Purpose | Statistical analysis of the age of residential properties. |
| Supplemental Info | |
| Is GIS (1 yes 0 no)? | 1 |
| West | -77.314183 |
| East | -76.012008 |
| North | 39.724847 |
| South | 38.708367 |
| Presentation Form | vector digital data |
| Data Credit | UVM Spatial Analysis Lab |
| Reference Name | Jarlath O'Neil-Dunne |
| Reference Place | UVM Spatial Analysis Lab |
| Reference EMail | joneildu@uvm.edu |
| Theme Keywords | Socio-Economic Resources, Capital, Territory, Housing Age, BES, Dwelling Age, Block Group, Statistics, |
| Place Keywords | Baltimore, MSA, Maryland, |
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Projection/datum/units: UTM Zone 18/NAD 83/meters The metadata provided for these
data is in Ecological Metadata Language (EML) format. Information on EML is online: Please contact Jonathan Walsh, BES Information Manager WalshJ@CaryInstitute.org with questions or comments. This research was supported by funding from the NSF Long-term Ecological Research (LTER) Program. This material is based upon work supported by the National Science Foundation under Grant No. 0423476. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. These data are made available for scientific interests that agree to cite the data and source appropriately. There is a time between the collection of most of these data and their subsequent availability via this website in order to give the investigator adequate time to present findings in scientific literature. Users are requested to notify the publisher of the purpose of data use and acknowledge the source if used in a publication. No commercial use is permitted. The publisher disclaims any responsibility for errors that may or may not exist within the data, and the user assumes all responsibility for errors in analysis or judgment associated with the data. |