Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Gosper County, NE
Series ID MHICIUBNE31073A052NCEN
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 1:51 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 28774
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33863
1994-01-01 .
1995-01-01 33902
1996-01-01 .
1997-01-01 36330
1998-01-01 37907
1999-01-01 39570
2000-01-01 41728
2001-01-01 40235
2002-01-01 39005
2003-01-01 40891
2004-01-01 43574
2005-01-01 44666
2006-01-01 41610
2007-01-01 48153
2008-01-01 49470
2009-01-01 54172
2010-01-01 54039
2011-01-01 52950
2012-01-01 55199
2013-01-01 61925
2014-01-01 60967
2015-01-01 62401
2016-01-01 61177
2017-01-01 60645
2018-01-01 65158
2019-01-01 71137
2020-01-01 71264
2021-01-01 75232
2022-01-01 76193

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