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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Banner County, NE
Series ID MHICILBNE31007A052NCEN
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 3:13 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 22893
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27997
1994-01-01 .
1995-01-01 23096
1996-01-01 .
1997-01-01 25800
1998-01-01 24966
1999-01-01 27891
2000-01-01 29618
2001-01-01 30126
2002-01-01 29475
2003-01-01 31552
2004-01-01 33174
2005-01-01 32611
2006-01-01 33202
2007-01-01 33897
2008-01-01 35990
2009-01-01 34738
2010-01-01 33743
2011-01-01 27876
2012-01-01 42280
2013-01-01 42147
2014-01-01 43705
2015-01-01 48493
2016-01-01 45468
2017-01-01 47351
2018-01-01 48048
2019-01-01 48039
2020-01-01 50178
2021-01-01 52451
2022-01-01 58309
2023-01-01 59132

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