Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Merrick County, NE
Series ID MHICILBNE31121A052NCEN
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 1:54 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 23952
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26396
1994-01-01 .
1995-01-01 26545
1996-01-01 .
1997-01-01 29143
1998-01-01 29410
1999-01-01 32006
2000-01-01 33466
2001-01-01 33278
2002-01-01 33205
2003-01-01 34722
2004-01-01 35891
2005-01-01 35395
2006-01-01 36962
2007-01-01 38012
2008-01-01 40863
2009-01-01 41647
2010-01-01 39172
2011-01-01 47042
2012-01-01 42819
2013-01-01 47655
2014-01-01 46325
2015-01-01 46050
2016-01-01 46754
2017-01-01 54694
2018-01-01 50816
2019-01-01 48872
2020-01-01 50588
2021-01-01 57555
2022-01-01 62238

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