Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Loup County, NE
Series ID MHICILBNE31115A052NCEN
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 16513
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19633
1994-01-01 .
1995-01-01 15860
1996-01-01 .
1997-01-01 11995
1998-01-01 10688
1999-01-01 21842
2000-01-01 24501
2001-01-01 24793
2002-01-01 24627
2003-01-01 28769
2004-01-01 30439
2005-01-01 28360
2006-01-01 27179
2007-01-01 26569
2008-01-01 27828
2009-01-01 29761
2010-01-01 31432
2011-01-01 34113
2012-01-01 35267
2013-01-01 37109
2014-01-01 45587
2015-01-01 47558
2016-01-01 42611
2017-01-01 41640
2018-01-01 42431
2019-01-01 45590
2020-01-01 47640
2021-01-01 46503
2022-01-01 52668

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