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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dauphin County, PA MHICILBPA42043A052NCEN U.S. Census Bureau Small Area Income and Poverty Estimates Not Seasonally Adjusted Annual Dollars 1989-01-01 to 2022-01-01 2023-12-14 1:53 PM CST 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 27156
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32377
1994-01-01 .
1995-01-01 34546
1996-01-01 .
1997-01-01 38340
1998-01-01 39543
1999-01-01 38993
2000-01-01 41020
2001-01-01 40504
2002-01-01 41725
2003-01-01 42944
2004-01-01 44062
2005-01-01 46043
2006-01-01 47055
2007-01-01 48210
2008-01-01 49287
2009-01-01 46875
2010-01-01 49492
2011-01-01 49800
2012-01-01 50569
2013-01-01 51506
2014-01-01 50618
2015-01-01 51968
2016-01-01 58263
2017-01-01 59422
2018-01-01 54972
2019-01-01 58017
2020-01-01 59336
2021-01-01 62071
2022-01-01 63445