Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Somerset County, PA
Series ID MHICILBPA42111A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 19948
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23432
1994-01-01 .
1995-01-01 24585
1996-01-01 .
1997-01-01 25630
1998-01-01 26967
1999-01-01 28664
2000-01-01 29738
2001-01-01 29114
2002-01-01 29327
2003-01-01 29965
2004-01-01 31380
2005-01-01 31328
2006-01-01 32673
2007-01-01 35052
2008-01-01 35633
2009-01-01 36079
2010-01-01 37342
2011-01-01 36310
2012-01-01 41704
2013-01-01 40401
2014-01-01 44145
2015-01-01 41131
2016-01-01 41629
2017-01-01 45463
2018-01-01 48610
2019-01-01 46773
2020-01-01 48006
2021-01-01 50755
2022-01-01 46637
2023-01-01 55302

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