Neighborhood Study Indicators

Neighborhood Study Indicators Vacant properties The vacant property data used in the report's calculations was collected by Isles during the summer of 2019. The calculation that we used was the percentage of vacant Class 2 (one to four family) structures out of all Class 2 structures. Vacancy is a critical factor in looking at the health of a neighborhood. Vacancy rates above a range of 5% to 8% reflect a weakness in the area’s housing market, and the higher the vacancy rate, the weaker the market conditions in the area. Homeownership rate The homeownership rate is an important indicator of neighborhood stability. Not only is homeownership correlated with longer tenure, but it is also strongly associated with positive neighborhood features, including greater investment in one’s property, greater neighborhood engagement, and stronger social capital. We used data from the Trenton Tax Assessor’s file, which included information on all properties in Trenton through the end of 2020, including the address of the property, and the name and address of the owner of record to which property tax bills are sent. After screening out all but Class 2 properties, we then excluded all properties where the address of the property and the address of the owner were not the same, assuming that these were investor-owned. We then excluded properties where the owner name was clearly not an individual or couple; for example, “235 ChestnutStreet LLC” or “Flip-My-House, Inc.” The remaining properties were considered owner-occupied. Investor purchases The proportion of home purchases by investors rather than owner-occupant buyers has a significant bearing on neighborhood stability. Investors' fundamental criterion is whether the house represents an opportunity to make money, while homebuyers are planning to make both a personal and financial investment in the house and surrounding neighborhood. And when house prices are low, there is a significant risk that the market will draw ‘milkers,’ investors interested in pure short-term cash flow profits, who then abandon the property. The mix of investor and owner-occupant buyers was determined using deed record data, which is compiled and published by the County approximately once every month or two. (The deed records can also be accessed here -- set "Database" to "Deed/Sr1A".) Median sales price The price for which houses sell in a neighborhood or city is probably the single most direct measure of market performance – the higher the price for a comparable house, the stronger the market, and the more people in the market who value the neighborhood. Since the number of transactions in any one year is too small to be meaningful in many of the city’s smaller neighborhoods, we aggregated transactions from 2018 through 2020, using sales prices from the SR1A forms, and computed a median price for the three year period for the city and each neighborhood. Tax delinquency Property owners have certain obligations, including the responsibility to pay property taxes to the city; and, if they have taken out a mortgage, to make mortgage payments. Whether or not they do so is a function of two factors – their ability to do so, or hardship; and their desire to do so, which reflects how they feel about the value of holding onto the property and their confidence in the neighborhood. Since mortgage payments are typically larger than property taxes, and since banks tend to move more quickly than local governments, the hardship factor usually weighs more heavily with mortgages, and the confidence factor weighs greater with property taxes, although the extremely high property tax rate in Trenton may tilt the balance more toward hardship. Thus, the percentage of owners paying their property taxes offers a rough measure of property owners’ assessment of their neighborhood and its future prospects. To measure this factor, we use the percentage of properties which were delinquent on their taxes in 2021 for the minimum length of time needed to be placed on a tax sale list. Tax sale certificate purchases When the city puts tax delinquent properties up for tax sale, one of two things happens to each property: either the tax sale certificate is bought by an investor, who pays the city the outstanding taxes; or, if no investor offers the minimum bid on the property, it is ‘struck off ’ and becomes the property of the city. Thus, the percentage of properties that are struck off to the city because no investors bid on them is a good reflection of how the investor market sees the neighborhood -- this is the parallel to the tax delinquency indicator, which reflects how property owners see their neighborhood. This measure uses the share of tax sale certificates struck off to the City of Trenton in 2021. Violent crime Crime in general, and violent crime in particular, are important – perhaps the most important – factors in how people, both within and outside an area, assess a neighborhood. Both the actual crime level as well as the fear of crime exert a powerful influence on whether people choose to buy a home in a particular area; or if they live in that area, choose to stay if they have the economic means to move elsewhere. The Trenton Department of Public Safety provided data on reported crime incidents by the nature of the crime and the location, which were geo-coded and allocated by neighborhood and subarea. Research suggests that violent crime affects people’s perceptions of an area more than property crime. Our measure was the violent crimes that are part of the FBI index; specifically, homicide-murder, sexual assault, robbery (strong arm or with weapon), or aggravated assault (causing injury with a deadly weapon). In order to control for possible random upward or downward ‘blips’ from one year to the next in small areas, we combined all violent crime incidents reported from 2017 to 2019, a period during which the overall violent crime rate went down slightly for the city, to construct the measure. For reasons that we do not understand, the data provided to us by the City lists a much smaller number of crime incidents than appear to have actually taken place, or that were reported by the City to the FBI as part of the Uniform Crime Reporting system for the same years. For this reason, we have not made any attempt to compare the data to national violent crime levels, as we did in the 2015 analysis. For purposes of this study we have assumed, however, that the data is reasonably consistent by neighborhood; that is, while the data is underreported for the city as a whole, we are not aware of any reason that it should be more greatly underreported in certain neighborhoods rather than in others.

Jeux de données disponibles au téléchargement

Ce jeu de données est vide

Informations supplémentaires

Champ Valeur
Dernière mise à jour mars 25, 2026, 02:18 (TU)
Créé mars 25, 2026, 02:18 (TU)
Domaine / Sujet
Domaine ou sujet du jeu de données catalogué.
Titre
Titre du jeu de données.
Neighborhood Study Indicators
Description
Une description du jeu de données.

Neighborhood Study Indicators Vacant properties The vacant property data used in the report's calculations was collected by Isles during the summer of 2019. The calculation that we used was the percentage of vacant Class 2 (one to four family) structures out of all Class 2 structures. Vacancy is a critical factor in looking at the health of a neighborhood. Vacancy rates above a range of 5% to 8% reflect a weakness in the area’s housing market, and the higher the vacancy rate, the weaker the market conditions in the area. Homeownership rate The homeownership rate is an important indicator of neighborhood stability. Not only is homeownership correlated with longer tenure, but it is also strongly associated with positive neighborhood features, including greater investment in one’s property, greater neighborhood engagement, and stronger social capital. We used data from the Trenton Tax Assessor’s file, which included information on all properties in Trenton through the end of 2020, including the address of the property, and the name and address of the owner of record to which property tax bills are sent. After screening out all but Class 2 properties, we then excluded all properties where the address of the property and the address of the owner were not the same, assuming that these were investor-owned. We then excluded properties where the owner name was clearly not an individual or couple; for example, “235 ChestnutStreet LLC” or “Flip-My-House, Inc.” The remaining properties were considered owner-occupied. Investor purchases The proportion of home purchases by investors rather than owner-occupant buyers has a significant bearing on neighborhood stability. Investors' fundamental criterion is whether the house represents an opportunity to make money, while homebuyers are planning to make both a personal and financial investment in the house and surrounding neighborhood. And when house prices are low, there is a significant risk that the market will draw ‘milkers,’ investors interested in pure short-term cash flow profits, who then abandon the property. The mix of investor and owner-occupant buyers was determined using deed record data, which is compiled and published by the County approximately once every month or two. (The deed records can also be accessed here -- set "Database" to "Deed/Sr1A".) Median sales price The price for which houses sell in a neighborhood or city is probably the single most direct measure of market performance – the higher the price for a comparable house, the stronger the market, and the more people in the market who value the neighborhood. Since the number of transactions in any one year is too small to be meaningful in many of the city’s smaller neighborhoods, we aggregated transactions from 2018 through 2020, using sales prices from the SR1A forms, and computed a median price for the three year period for the city and each neighborhood. Tax delinquency Property owners have certain obligations, including the responsibility to pay property taxes to the city; and, if they have taken out a mortgage, to make mortgage payments. Whether or not they do so is a function of two factors – their ability to do so, or hardship; and their desire to do so, which reflects how they feel about the value of holding onto the property and their confidence in the neighborhood. Since mortgage payments are typically larger than property taxes, and since banks tend to move more quickly than local governments, the hardship factor usually weighs more heavily with mortgages, and the confidence factor weighs greater with property taxes, although the extremely high property tax rate in Trenton may tilt the balance more toward hardship. Thus, the percentage of owners paying their property taxes offers a rough measure of property owners’ assessment of their neighborhood and its future prospects. To measure this factor, we use the percentage of properties which were delinquent on their taxes in 2021 for the minimum length of time needed to be placed on a tax sale list. Tax sale certificate purchases When the city puts tax delinquent properties up for tax sale, one of two things happens to each property: either the tax sale certificate is bought by an investor, who pays the city the outstanding taxes; or, if no investor offers the minimum bid on the property, it is ‘struck off ’ and becomes the property of the city. Thus, the percentage of properties that are struck off to the city because no investors bid on them is a good reflection of how the investor market sees the neighborhood -- this is the parallel to the tax delinquency indicator, which reflects how property owners see their neighborhood. This measure uses the share of tax sale certificates struck off to the City of Trenton in 2021. Violent crime Crime in general, and violent crime in particular, are important – perhaps the most important – factors in how people, both within and outside an area, assess a neighborhood. Both the actual crime level as well as the fear of crime exert a powerful influence on whether people choose to buy a home in a particular area; or if they live in that area, choose to stay if they have the economic means to move elsewhere. The Trenton Department of Public Safety provided data on reported crime incidents by the nature of the crime and the location, which were geo-coded and allocated by neighborhood and subarea. Research suggests that violent crime affects people’s perceptions of an area more than property crime. Our measure was the violent crimes that are part of the FBI index; specifically, homicide-murder, sexual assault, robbery (strong arm or with weapon), or aggravated assault (causing injury with a deadly weapon). In order to control for possible random upward or downward ‘blips’ from one year to the next in small areas, we combined all violent crime incidents reported from 2017 to 2019, a period during which the overall violent crime rate went down slightly for the city, to construct the measure. For reasons that we do not understand, the data provided to us by the City lists a much smaller number of crime incidents than appear to have actually taken place, or that were reported by the City to the FBI as part of the Uniform Crime Reporting system for the same years. For this reason, we have not made any attempt to compare the data to national violent crime levels, as we did in the 2015 analysis. For purposes of this study we have assumed, however, that the data is reasonably consistent by neighborhood; that is, while the data is underreported for the city as a whole, we are not aware of any reason that it should be more greatly underreported in certain neighborhoods rather than in others.
Étiquettes / Mots-clés
Mots-clés/étiquettes catégorisant le jeu de données.
Format (CSV, XLS, TXT, PDF, etc.)
Format de fichier du jeu de données.
Taille du jeu de données
Taille du jeu de données en mégaoctets.
19.83
Identifiant des métadonnées
Identifiant des métadonnées — peut être utilisé comme identifiant unique pour l’entrée du catalogue.
Date de publication
Date de publication du jeu de données.
2023-11-28
Période temporelle des données (date de début)
Date de début des données dans le jeu de données.
Période temporelle des données (date de fin)
Date de fin des données temporelles du jeu de données.
Zone géospatiale couverte
Région spatiale ou lieu nommé couvert par le jeu de données.
Champ Valeur
Catégorie d’accès
Type d’accès accordé pour le jeu de données (ouvert, restreint, service, etc.).
public (affichage de la valeur pour English)
Licence
Licence utilisée pour accéder au jeu de données.
License not specified
Restrictions d’utilisation
Restrictions d’utilisation des données.
Emplacement
Emplacement du jeu de données.
https://restoring-trenton-tvs.hub.arcgis.com/datasets/b3d7f8bc64d543db8c12e7f6c2894d80 (affichage de la valeur pour English)
Service de données
Service de données pour accéder à un jeu de données.
Propriétaire
Propriétaire du jeu de données.
restoring_trenton (affichage de la valeur pour English)
Point de contact
Qui contacter concernant l’accès ?
Courriel du point de contact
Courriel à utiliser pour l’accès ?
Éditeur
Éditeur du jeu de données.
Courriel de l’éditeur
Adresse courriel de l’éditeur.
Auteur
Auteur du jeu de données.
restoring_trenton
Courriel de l'auteur
Adresse courriel de l’auteur.
Date d’accès
Date à laquelle les données et métadonnées ont été consultées.
2023-11-28
Champ Valeur
Identifiant
Identifiant unique du jeu de données.
b3d7f8bc64d543db8c12e7f6c2894d80 (affichage de la valeur pour English)
Langue
Langue(s) du jeu de données
English
Lien vers la description du jeu de données
Une URL vers un document externe décrivant le jeu de données.
https://restoring-trenton-tvs.hub.arcgis.com/datasets/b3d7f8bc64d543db8c12e7f6c2894d80 (affichage de la valeur pour English)
Identifiant persistant
Les données sont identifiées par un identifiant persistant.
Identifiant globalement unique
Les données sont identifiées par un identifiant persistant et globalement unique.
Contient des données sur des individus
Le jeu de données contient-il des données sur des individus ?
Contient des données identifiables sur des individus
Le jeu de données contient-il des données identifiables sur des individus ?
Contient des données autochtones
Le jeu de données contient-il des données sur des communautés autochtones ?
Type de portail
Type de plateforme du portail source.
Champ Valeur
Version
Version du jeu de données
None
Source
Source du jeu de données.
None
Notes de version
Notes de version à propos du jeu de données.
Est une version d’un autre jeu de données
Lien vers le jeu de données dont celui-ci est une version.
Autres versions
Lien vers les jeux de données qui en sont des versions.
Texte de provenance
Texte de provenance des données.
URL de provenance
URL de provenance des données.
Résolution temporelle
Décrit la granularité des données temporelles dans le jeu de données.
Résolution géospatiale en mètres
Décrit la granularité (en mètres) des données géospatiales dans le jeu de données.
Résolution géospatiale (par régions)
Décrit la granularité (par régions) des données géospatiales dans le jeu de données.
Champ Valeur
Permission de la communauté autochtone
Qui détient la permission de la communauté autochtone. Qui contacter pour l’accès à un jeu de données concernant des communautés autochtones.
Permission communautaire
Permission communautaire (qui a accordé la permission).
Les communautés autochtones concernées par le jeu de données
Communautés autochtones dont sont issues les données.
Champ Valeur
Nombre de lignes de données
Pour un jeu de données tabulaire, nombre total de lignes.
Nombre de colonnes de données
Pour un jeu de données tabulaire, nombre total de colonnes uniques.
Nombre de cellules de données
Pour un jeu de données tabulaire, nombre total de cellules contenant des données.
Nombre de relations de données
Pour un jeu de données RDF, nombre total de triplets.
Nombre d’entités
Pour un jeu de données RDF, nombre total d’entités.
Nombre de propriétés de données
Pour un jeu de données RDF, nombre total de propriétés uniques utilisées par les triplets.
Qualité des données
Décrit la qualité des données du jeu de données.
Métrique de qualité des données
Une métrique utilisée pour mesurer la qualité des données, telle que les valeurs manquantes ou les formats invalides.

0 Commentaires

Please login or register to comment.