Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Divide County, ND
Series ID MHICILBND38023A052NCEN
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 18187
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22411
1994-01-01 .
1995-01-01 25344
1996-01-01 .
1997-01-01 26120
1998-01-01 25310
1999-01-01 27080
2000-01-01 29114
2001-01-01 28430
2002-01-01 27062
2003-01-01 29001
2004-01-01 29215
2005-01-01 29743
2006-01-01 32548
2007-01-01 32933
2008-01-01 39228
2009-01-01 43835
2010-01-01 44266
2011-01-01 45924
2012-01-01 49119
2013-01-01 57139
2014-01-01 60037
2015-01-01 56279
2016-01-01 53635
2017-01-01 49696
2018-01-01 52592
2019-01-01 54121
2020-01-01 55903
2021-01-01 56738
2022-01-01 62166

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