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Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Northumberland County, PA

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Northumberland County, PA
Series ID MHICILBPA42097A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:53 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 20575
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23955
1994-01-01 .
1995-01-01 24738
1996-01-01 .
1997-01-01 27995
1998-01-01 29542
1999-01-01 30053
2000-01-01 30498
2001-01-01 29918
2002-01-01 30474
2003-01-01 31771
2004-01-01 32788
2005-01-01 34273
2006-01-01 33998
2007-01-01 34970
2008-01-01 38449
2009-01-01 35554
2010-01-01 34525
2011-01-01 37876
2012-01-01 38789
2013-01-01 39063
2014-01-01 38044
2015-01-01 41436
2016-01-01 44296
2017-01-01 41902
2018-01-01 43611
2019-01-01 44649
2020-01-01 43334
2021-01-01 48636
2022-01-01 53434

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