Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Douglas County, NE
Series ID MHICILBNE31055A052NCEN
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 1:11 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 28056
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32581
1994-01-01 .
1995-01-01 36537
1996-01-01 .
1997-01-01 39808
1998-01-01 41291
1999-01-01 41002
2000-01-01 44875
2001-01-01 44427
2002-01-01 44595
2003-01-01 44402
2004-01-01 44841
2005-01-01 44541
2006-01-01 47450
2007-01-01 49693
2008-01-01 50250
2009-01-01 48374
2010-01-01 48713
2011-01-01 50499
2012-01-01 50114
2013-01-01 50448
2014-01-01 51128
2015-01-01 56697
2016-01-01 56959
2017-01-01 59847
2018-01-01 62157
2019-01-01 65076
2020-01-01 63672
2021-01-01 66992
2022-01-01 71990

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