Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hamilton County, NE
Series ID MHICILBNE31081A052NCEN
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 26886
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31065
1994-01-01 .
1995-01-01 31202
1996-01-01 .
1997-01-01 35677
1998-01-01 35957
1999-01-01 38165
2000-01-01 39193
2001-01-01 39389
2002-01-01 39810
2003-01-01 41247
2004-01-01 43075
2005-01-01 42361
2006-01-01 46116
2007-01-01 45041
2008-01-01 49440
2009-01-01 48033
2010-01-01 50718
2011-01-01 53736
2012-01-01 53124
2013-01-01 50988
2014-01-01 56657
2015-01-01 59529
2016-01-01 57848
2017-01-01 62227
2018-01-01 56040
2019-01-01 62538
2020-01-01 64413
2021-01-01 64306
2022-01-01 67479
2023-01-01 75804

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