Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Polk County, NE
Series ID MHICIUBNE31143A052NCEN
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 3:12 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 26764
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35076
1994-01-01 .
1995-01-01 36015
1996-01-01 .
1997-01-01 40459
1998-01-01 40204
1999-01-01 40065
2000-01-01 42180
2001-01-01 41416
2002-01-01 39941
2003-01-01 41731
2004-01-01 44193
2005-01-01 43391
2006-01-01 46295
2007-01-01 48908
2008-01-01 52019
2009-01-01 53773
2010-01-01 51683
2011-01-01 56110
2012-01-01 58757
2013-01-01 61691
2014-01-01 62485
2015-01-01 66135
2016-01-01 57649
2017-01-01 66635
2018-01-01 65852
2019-01-01 72769
2020-01-01 66062
2021-01-01 77345
2022-01-01 79193
2023-01-01 87738

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