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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Adams County, PA
Series ID MHICILBPA42001A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:08 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 27294
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32738
1994-01-01 .
1995-01-01 34571
1996-01-01 .
1997-01-01 37919
1998-01-01 40092
1999-01-01 39732
2000-01-01 41380
2001-01-01 41199
2002-01-01 42576
2003-01-01 44346
2004-01-01 45560
2005-01-01 45551
2006-01-01 50358
2007-01-01 50108
2008-01-01 52616
2009-01-01 53580
2010-01-01 51516
2011-01-01 52056
2012-01-01 55020
2013-01-01 55109
2014-01-01 57548
2015-01-01 58014
2016-01-01 55921
2017-01-01 59964
2018-01-01 59135
2019-01-01 63600
2020-01-01 65492
2021-01-01 69104
2022-01-01 71120
2023-01-01 71636
2024-01-01 82829

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