Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, NE
Series ID MHICIUBNE31075A052NCEN
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 25536
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27563
1994-01-01 .
1995-01-01 26444
1996-01-01 .
1997-01-01 31056
1998-01-01 29771
1999-01-01 34410
2000-01-01 37569
2001-01-01 34739
2002-01-01 33321
2003-01-01 40450
2004-01-01 40286
2005-01-01 40746
2006-01-01 40443
2007-01-01 40447
2008-01-01 41750
2009-01-01 45944
2010-01-01 43847
2011-01-01 44208
2012-01-01 48485
2013-01-01 49293
2014-01-01 52549
2015-01-01 62584
2016-01-01 61962
2017-01-01 58583
2018-01-01 63031
2019-01-01 67222
2020-01-01 71721
2021-01-01 72173
2022-01-01 71564
2023-01-01 72041

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