Reviews for Philadelphia Reviews. Agree 61 Disagree Will charge you fees, anything - to pay for the mess that they made. Life long resident, born here as well. I'm Very sorry to say. Agree Disagree I feel like if everyone was giving it 5 stars the Try Now.
Because Cities data are estimates, they require different aggregation techniques than techniques used for nonmodeled data. We created weighted neighborhood estimates by first multiplying each census tract estimate by the proportion of the population of the neighborhood in that census tract and then summing these weighted census tract estimates in each neighborhood.
For most indicators, the age group was adults aged 18 or older. For indicators calculated within a subgroup, we used the respective subgroup population. We weighted the Walk Score by land area rather than population. We determined weights for CHR by using 5 primary methods: 1 historical perspective, 2 literature review, 3 weighting schemes used by other health rankings, 4 analytic approach, and 5 pragmatic approach community member engagement 20, We often matched functionally similar indicators.
When NHR had missing indicators or fewer indicators than CHR, we distributed weight to variables in that subcategory or a broader category, and when necessary, we replaced CHR variables with similar variables. For example, CHR had a 2. We constructed rankings by using methods parallel to methods used in CHR: 1 standardize each indicator, 2 truncate any neighborhood indicator derived from a small sample size, 3 reverse code indicators so higher scores indicate poorer health, and 4 create a weighted sum of all indicators Indicators were standardized to the average SD of neighborhoods in Philadelphia ie, z scores.
If city boundaries covered multiple counties, we calculated z scores for each neighborhood in each county standardized to the county average. We calculated a weighted composite by multiplying each z score by using weights Table and summing.
We created separate composite scores for health outcomes and health factors. We tested the correlation between the composite scores using the Pearson correlation coefficient.
We sorted all rankings from 1 lowest, or best health to 46 highest, or worst health in Philadelphia, corresponding to the number of neighborhoods in Philadelphia.
It is critical that communication of rankings does not stigmatize or lead to unintended consequences for neighborhoods or residents. Thus, to de-emphasize the differences between neighborhood ranks, we grouped neighborhoods into quartiles according to their health outcomes and health factors ranks separately. We mapped all rankings for neighborhood health outcomes and health factors by quartile.
To facilitate use of the rankings, our dissemination strategy included a full report with neighborhood-specific information and an interactive webpage for exploring rankings in and across the city phillyhealthrankings. Both the report and webpage were designed to be understandable to residents and featured visual cues to aid in understanding the data. No neighborhood in the best-ranked health outcome quartile was in the worse-ranked health factor quartile and vice versa Figure 3.
Figure 2. Quartiles of neighborhood health rankings in Philadelphia for health outcomes and health factors. The higher the rank, the worse the health.
Diagonal hatching indicates special land-use tracts that were excluded from rankings. Figure 3. Distribution of health factor rank quartiles within health outcome rank quartiles. Numbers in chart are counts of neighborhoods in the corresponding category of both health factor and health outcome rank quartile. Q, quartile. Our study outlines a novel way to use Cities data in combination with local data to create within-city neighborhood health rankings.
Our ranking system is based on a flexible framework that can be adapted to the availability of local data and the health factors or health outcomes most relevant to a particular population or city.
Health disparities exist universally. Developing neighborhood health rankings can aid in identifying and confronting these disparities to promote health equity. Our ranking system serves as a guide for other jurisdictions looking to undertake similar projects that use the Cities Project, PLACES, or other small-area data to investigate health locally.
Given that the PLACES project 8 now provides wide geographic coverage across the nation, our method can be applied to create health rankings and understand drivers of health disparities more broadly than before.
Cities aiming to use our methodology should note 2 key considerations. As such, drawing lines between neighborhoods is often highly debated. We used and recommend the following steps for creating neighborhoods 1 scan city and local data sets for existing neighborhood boundaries eg, planning districts, survey boundaries, neighborhood geographies, real estate boundaries , 2 designate boundaries that align with census tracts to facilitate harmonization of geographic boundaries from different data sources, 3 incorporate local knowledge from government or local agencies to finalize neighborhood designations, and 4 ensure that neighborhoods are of sufficient sample size.
For aligning neighborhoods with health data, boundaries used by health agencies could be considered, where possible. Dutch settlers continued to spread through the valley, and the English eventually conquered the New Netherland colony by The land was purchased from the Lenape people, and Penn named the new city Philadelphia. The town grew rapidly, in part due to Penn's insistence on allowing anyone to worship freely in the community, which led to better relationships with local Indian tribes than other colonies enjoyed.
Eventually, Benjamin Franklin helped to improve the city services in the area, founding one of the first hospitals in the American colonies.
From to , Philadelphia served as a temporary capital for the country, and Philadelphia was left with the largest population approximately 50, people by the turn of the 19th century. The non-English language spoken by the largest group is Spanish, which is spoken by The race most likely to be in poverty in Philadelphia is Other, with The race least likely to be in poverty in Philadelphia is White, with The poverty rate among those that worked full-time for the past 12 months was 3.
Among those working part-time, it was The age group where males are most likely to be married is Over 65, while the female age group most likely to be married is Non citizens include legal permanent residents green card holders , international students, temporary workers, humanitarian migrants, and illegal immigrants.
Born in Philadelphia. Of those not born in the United States, the largest percentage are from Asia. Philadelphia, Pennsylvania Population 1,, Philadelphia Diversity The largest ancestry groups in Philadelphia, according to the census, were: Irish Philadelphia Population Growth Philadelphia's population growth was stalled for some time, but this has finally reversed with positive growth for seven consecutive years.
Delaware County. The current population of Philadelphia, Pennsylvania is 1,, based on our projections of the latest US Census estimates. The US Census estimates the population at 1,, The last official US Census in recorded the population at 1,, Philadelphia, Pennsylvania Population Show Sources. Year Population Growth Growth Rate 6,, 11, 0.
Philadelphia Metro Area Population by Year. Philadelphia Population by Race. Show Source. Philadelphia Median Age Philadelphia Age Dependency In , Philadelphia was the 3rd largest city in the US; now its fallen to the 6th largest city in the US. Philadelphia is currently Philadelphia has grown 4. Philadelphia, Pennsylvania's growth is below average. Yes, Philadelphia is the biggest city in the state of Pennsylvania based on population.
Philadelphia is located entirely in Philadelphia County. US » Pennsylvania » Philadelphia. Philadelphia, Pennsylvania Population History -
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