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2. 100 Cheap Places To Live With Rent Less Than $2,000

   www.aol.com/100-cheap-places-live-rent-110135230...

   Pictured: Philadelphia. Clayton, Missouri. Average monthly rent: $1,733.04. ... All three scores were summed and sorted to show the cheap places to live with rent less than $2,000. All data was ...

3. Gentrification in Philadelphia - Wikipedia

   en.wikipedia.org/wiki/Gentrification_in_Philadelphia

   t. e. Gentrification is the controversial process of affluent people moving into a historically low-income neighborhood. [1] It is often criticized because the current residents have limited options to buy or rent equivalent housing in alternative areas at the same price. [2] If they stay, prices for products, services, and taxes rise and ...

4. Pennsylvania - Wikipedia

   en.wikipedia.org/wiki/Pennsylvania

   Pennsylvania (/ ˌ p ɛ n s ɪ l ˈ v eɪ n i ə / ⓘ PEN-sil-VAY-nee-ə, lit. ' Penn's forest country '), officially the Commonwealth of Pennsylvania (Pennsylvania Dutch: Pennsylvanie), is a landlocked state spanning the Mid-Atlantic, Northeastern, Appalachian, and Great Lakes regions of the United States.

5. 1918-1920 New York City rent strikes - Wikipedia

   en.wikipedia.org/wiki/1918-1920_New_York_City...

   The 1918-1920 New York City rent strikes were some of the most significant tenant mobilizations against landlords in New York City history. Prior to the strikes, a housing shortage caused by World War I exacerbated tenant conditions, with the construction industry being redirected to war time efforts.

6. China keeps lending rate unchanged as data show housing ... - AOL

   www.aol.com/news/china-keeps-lending-rate...

   Property investments fell 10% year-on-year and home sales sank 30.5%, suggesting a raft of measures to try to turn around a real estate slump have yet to take hold.

7. A Great Resignation 2.0 is simmering as employees feel ... - AOL

   www.aol.com/finance/great-resignation-2-0...

   The "Great Resignation" never really ended. But now, employees' challenges include them being overworked, underpaid and not ready for AI.