Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Indiana County, PA
Series ID MHICIUBPA42063A052NCEN
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 1:51 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 26407
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29024
1994-01-01 .
1995-01-01 31791
1996-01-01 .
1997-01-01 34467
1998-01-01 35707
1999-01-01 32977
2000-01-01 34551
2001-01-01 33478
2002-01-01 33872
2003-01-01 34664
2004-01-01 36091
2005-01-01 34648
2006-01-01 39630
2007-01-01 36198
2008-01-01 43202
2009-01-01 41309
2010-01-01 42983
2011-01-01 44124
2012-01-01 45451
2013-01-01 46609
2014-01-01 45281
2015-01-01 48713
2016-01-01 45434
2017-01-01 47682
2018-01-01 51668
2019-01-01 54212
2020-01-01 56787
2021-01-01 54877
2022-01-01 56672

Subscribe to the FRED newsletter


Follow us

Back to Top