Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Venango County, PA
Series ID MHICIUBPA42121A052NCEN
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 1:09 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 26640
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28436
1994-01-01 .
1995-01-01 31661
1996-01-01 .
1997-01-01 32685
1998-01-01 33295
1999-01-01 33242
2000-01-01 35143
2001-01-01 34022
2002-01-01 34259
2003-01-01 35141
2004-01-01 36667
2005-01-01 37724
2006-01-01 37519
2007-01-01 38362
2008-01-01 42285
2009-01-01 39462
2010-01-01 42086
2011-01-01 41967
2012-01-01 40454
2013-01-01 43761
2014-01-01 46365
2015-01-01 47378
2016-01-01 43829
2017-01-01 49673
2018-01-01 48504
2019-01-01 56320
2020-01-01 57153
2021-01-01 59611
2022-01-01 54959

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