Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Frontier County, NE
Series ID MHICILBNE31063A052NCEN
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 2:33 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 20696
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24616
1994-01-01 .
1995-01-01 24544
1996-01-01 .
1997-01-01 27344
1998-01-01 27512
1999-01-01 30911
2000-01-01 31781
2001-01-01 31564
2002-01-01 29260
2003-01-01 32244
2004-01-01 32609
2005-01-01 33067
2006-01-01 33416
2007-01-01 34880
2008-01-01 38332
2009-01-01 38213
2010-01-01 36760
2011-01-01 48557
2012-01-01 43313
2013-01-01 43513
2014-01-01 43735
2015-01-01 45676
2016-01-01 50597
2017-01-01 44482
2018-01-01 38913
2019-01-01 51303
2020-01-01 52063
2021-01-01 47788
2022-01-01 50977
2023-01-01 55334

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