Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dakota County, NE
Series ID MHICILBNE31043A052NCEN
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 23188
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27876
1994-01-01 .
1995-01-01 30354
1996-01-01 .
1997-01-01 31955
1998-01-01 32862
1999-01-01 35117
2000-01-01 36525
2001-01-01 36175
2002-01-01 35942
2003-01-01 36494
2004-01-01 37025
2005-01-01 38778
2006-01-01 39298
2007-01-01 39912
2008-01-01 40228
2009-01-01 38091
2010-01-01 39410
2011-01-01 43444
2012-01-01 43003
2013-01-01 41353
2014-01-01 47228
2015-01-01 45404
2016-01-01 48414
2017-01-01 47189
2018-01-01 50693
2019-01-01 54734
2020-01-01 52362
2021-01-01 57085
2022-01-01 60850

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