Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Merrick County, NE
Series ID MHICIUBNE31121A052NCEN
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 28436
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31181
1994-01-01 .
1995-01-01 32772
1996-01-01 .
1997-01-01 35529
1998-01-01 35890
1999-01-01 36521
2000-01-01 38884
2001-01-01 38144
2002-01-01 38082
2003-01-01 39377
2004-01-01 40704
2005-01-01 41514
2006-01-01 42563
2007-01-01 45409
2008-01-01 48820
2009-01-01 49408
2010-01-01 47316
2011-01-01 54386
2012-01-01 51653
2013-01-01 52979
2014-01-01 55461
2015-01-01 56388
2016-01-01 57470
2017-01-01 65274
2018-01-01 62170
2019-01-01 57950
2020-01-01 66286
2021-01-01 71063
2022-01-01 75270

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