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<h1 class="title toc-ignore">Nomisr testing</h1>
<h4 class="author"><em>Ben Anderson (<a href="mailto:b.anderson@soton.ac.uk">b.anderson@soton.ac.uk</a>, <code>@dataknut</code>)</em></h4>
<h4 class="date"><em>Last run at: 2018-05-11 17:43:13</em></h4>
</div>
<div id="nomisr" class="section level1">
<h1><span class="header-section-number">1</span> nomisr</h1>
<p>An R interface to UK Census data via <a href="https://www.nomisweb.co.uk/api/v01/help">nomis</a>. For more info see:</p>
<ul>
<li><a href="https://cran.r-project.org/web/packages/nomisr/index.html" class="uri">https://cran.r-project.org/web/packages/nomisr/index.html</a></li>
<li><a href="https://github.com/ropensci/nomisr" class="uri">https://github.com/ropensci/nomisr</a></li>
<li>Citation - <span class="citation">(Odell 2018)</span></li>
</ul>
<p>This code also uses data.table <span class="citation">(Dowle et al. 2015)</span>.</p>
</div>
<div id="get-full-list-of-tables" class="section level1">
<h1><span class="header-section-number">2</span> Get full list of tables</h1>
<p>nomisr provides various ways to search the tables list but it is a bit easier on the API to get the list as a data table and then search it locally…</p>
<pre class="r"><code>nomisTablesDT <- as.data.table(nomis_data_info())
knitr::kable(caption = paste0("List of first 5 NOMIS tables (of ", nrow(nomisTablesDT)), head(nomisTablesDT, 5))</code></pre>
<table>
<caption>List of first 5 NOMIS tables (of 1242</caption>
<thead>
<tr class="header">
<th align="left">agencyid</th>
<th align="left">id</th>
<th align="left">uri</th>
<th align="right">version</th>
<th align="left">annotations.annotation</th>
<th align="left">components.attribute</th>
<th align="left">components.dimension</th>
<th align="left">components.primarymeasure.conceptref</th>
<th align="left">components.timedimension.codelist</th>
<th align="left">components.timedimension.conceptref</th>
<th align="left">description.value</th>
<th align="left">description.lang</th>
<th align="left">name.value</th>
<th align="left">name.lang</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_1_1</td>
<td align="left">Nm-1d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Claimants,JSA,Rates”, “Persons”, “jsa”, “1”, “usw91 usp usu”, “us”, “2004-06-16 09:30:00”, “2018-04-17 09:30:00”, “2017-02-15 09:30:00”), annotationtitle = c(“Status”, “Keywords”, “Units”, “contenttype/sources”, “contenttype/sorting”, “SubDescription”, “Mnemonic”, “FirstReleased”, “LastUpdated”, “LastRevised”))</td>
<td align="left">list(assignmentstatus = c(“Mandatory”, “Conditional”, “Conditional”, “Conditional”, “Mandatory”, “Mandatory”, “Mandatory”), attachmentlevel = c(“Observation”, “Observation”, “Observation”, “Series”, “Series”, “Series”, “Series”), codelist = c(“CL_OBS_STATUS”, “CL_OBS_CONF”, “CL_OBS_ROUND”, “CL_UNIT_MULT”, “CL_TIME_FORMAT”, “CL_UNIT”, NA), conceptref = c(“OBS_STATUS”, “OBS_CONF”, “OBS_ROUND”, “UNIT_MULTIPLIER”, “TIME_FORMAT”, “UNIT”, “TITLE_COMPL”))</td>
<td align="left">list(codelist = c(“CL_1_1_GEOGRAPHY”, “CL_1_1_SEX”, “CL_1_1_ITEM”, “CL_1_1_MEASURES”, “CL_1_1_FREQ”), conceptref = c(“GEOGRAPHY”, “SEX”, “ITEM”, “MEASURES”, “FREQ”), isfrequencydimension = c(NA, NA, NA, NA, “true”))</td>
<td align="left">OBS_VALUE</td>
<td align="left">CL_1_1_TIME</td>
<td align="left">TIME</td>
<td align="left">Records the number of people claiming Jobseeker’s Allowance (JSA) and National Insurance credits at Jobcentre Plus local offices. This is not an official measure of unemployment, but is the only indicative statistic available for areas smaller than Local Authorities.</td>
<td align="left">en</td>
<td align="left">Jobseeker’s Allowance with rates and proportions</td>
<td align="left">en</td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_2_1</td>
<td align="left">Nm-2d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Historical (not actively being updated)”, “Claimants,JSA,Age,Duration”, “Persons”, “jsa”, “usadw91 usadp usadu”, “usad”), annotationtitle = c(“Status”, “Keywords”, “Units”, “contenttype/sources”, “SubDescription”, “Mnemonic”))</td>
<td align="left">list(assignmentstatus = c(“Mandatory”, “Conditional”, “Conditional”, “Conditional”, “Mandatory”, “Mandatory”, “Mandatory”), attachmentlevel = c(“Observation”, “Observation”, “Observation”, “Series”, “Series”, “Series”, “Series”), codelist = c(“CL_OBS_STATUS”, “CL_OBS_CONF”, “CL_OBS_ROUND”, “CL_UNIT_MULT”, “CL_TIME_FORMAT”, “CL_UNIT”, NA), conceptref = c(“OBS_STATUS”, “OBS_CONF”, “OBS_ROUND”, “UNIT_MULTIPLIER”, “TIME_FORMAT”, “UNIT”, “TITLE_COMPL”))</td>
<td align="left">list(codelist = c(“CL_2_1_GEOGRAPHY”, “CL_2_1_SEX”, “CL_2_1_AGE_DUR”, “CL_2_1_MEASURES”, “CL_2_1_FREQ”), conceptref = c(“GEOGRAPHY”, “SEX”, “AGE_DUR”, “MEASURES”, “FREQ”), isfrequencydimension = c(NA, NA, NA, NA, “true”))</td>
<td align="left">OBS_VALUE</td>
<td align="left">CL_2_1_TIME</td>
<td align="left">TIME</td>
<td align="left">A quartery count of claimants who were claiming Jobseeker’s Allowance on the count date analysed by their age and the duration.</td>
<td align="left">en</td>
<td align="left">claimant count - age and duration</td>
<td align="left">en</td>
</tr>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_4_1</td>
<td align="left">Nm-4d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Persons”, “jsa”, “ucadw91”, “ucad”, “2004-06-16 09:30:00”, “2018-04-17 09:30:00”, “2017-02-15 09:30:00”), annotationtitle = c(“Status”, “Units”, “contenttype/sources”, “SubDescription”, “Mnemonic”, “FirstReleased”, “LastUpdated”, “LastRevised”))</td>
<td align="left">list(assignmentstatus = c(“Mandatory”, “Conditional”, “Conditional”, “Conditional”, “Mandatory”, “Mandatory”, “Mandatory”), attachmentlevel = c(“Observation”, “Observation”, “Observation”, “Series”, “Series”, “Series”, “Series”), codelist = c(“CL_OBS_STATUS”, “CL_OBS_CONF”, “CL_OBS_ROUND”, “CL_UNIT_MULT”, “CL_TIME_FORMAT”, “CL_UNIT”, NA), conceptref = c(“OBS_STATUS”, “OBS_CONF”, “OBS_ROUND”, “UNIT_MULTIPLIER”, “TIME_FORMAT”, “UNIT”, “TITLE_COMPL”))</td>
<td align="left">list(codelist = c(“CL_4_1_GEOGRAPHY”, “CL_4_1_SEX”, “CL_4_1_AGE_DUR”, “CL_4_1_MEASURES”, “CL_4_1_FREQ”), conceptref = c(“GEOGRAPHY”, “SEX”, “AGE_DUR”, “MEASURES”, “FREQ”), isfrequencydimension = c(NA, NA, NA, NA, “true”))</td>
<td align="left">OBS_VALUE</td>
<td align="left">CL_4_1_TIME</td>
<td align="left">TIME</td>
<td align="left">A monthly count of Jobseeker’s Allowance (JSA) claimants broken down by age and the duration of claim. Totals exclude non-computerised clerical claims (approx. 1%). Available for areas smaller than Local Authorities.</td>
<td align="left">en</td>
<td align="left">Jobseeker’s Allowance by age and duration</td>
<td align="left">en</td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_5_1</td>
<td align="left">Nm-5d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Historical (not actively being updated)”, “Persons”, “jsa”, “ubrd”, “ubrd”), annotationtitle = c(“Status”, “Units”, “contenttype/sources”, “SubDescription”, “Mnemonic”))</td>
<td align="left">list(assignmentstatus = c(“Mandatory”, “Conditional”, “Conditional”, “Conditional”, “Mandatory”, “Mandatory”, “Mandatory”), attachmentlevel = c(“Observation”, “Observation”, “Observation”, “Series”, “Series”, “Series”, “Series”), codelist = c(“CL_OBS_STATUS”, “CL_OBS_CONF”, “CL_OBS_ROUND”, “CL_UNIT_MULT”, “CL_TIME_FORMAT”, “CL_UNIT”, NA), conceptref = c(“OBS_STATUS”, “OBS_CONF”, “OBS_ROUND”, “UNIT_MULTIPLIER”, “TIME_FORMAT”, “UNIT”, “TITLE_COMPL”))</td>
<td align="left">list(codelist = c(“CL_5_1_GEOGRAPHY”, “CL_5_1_SEX”, “CL_5_1_ITEM”, “CL_5_1_MEASURES”, “CL_5_1_FREQ”), conceptref = c(“GEOGRAPHY”, “SEX”, “ITEM”, “MEASURES”, “FREQ”), isfrequencydimension = c(NA, NA, NA, NA, “true”))</td>
<td align="left">OBS_VALUE</td>
<td align="left">CL_5_1_TIME</td>
<td align="left">TIME</td>
<td align="left">A midyear estimate of the workforce (the denominator) which was used for calculating claimant count rates prior to January 2003. The estimates are broken down by sex but not age.</td>
<td align="left">en</td>
<td align="left">claimant count denominators - historical workforce series</td>
<td align="left">en</td>
</tr>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_6_1</td>
<td align="left">Nm-6d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Historical (not actively being updated)”, “Claimants,JSA,Occupation”, “Persons”, “jsa”, “usocw91”, “usoc”), annotationtitle = c(“Status”, “Keywords”, “Units”, “contenttype/sources”, “SubDescription”, “Mnemonic”))</td>
<td align="left">list(assignmentstatus = c(“Mandatory”, “Conditional”, “Conditional”, “Conditional”, “Mandatory”, “Mandatory”, “Mandatory”), attachmentlevel = c(“Observation”, “Observation”, “Observation”, “Series”, “Series”, “Series”, “Series”), codelist = c(“CL_OBS_STATUS”, “CL_OBS_CONF”, “CL_OBS_ROUND”, “CL_UNIT_MULT”, “CL_TIME_FORMAT”, “CL_UNIT”, NA), conceptref = c(“OBS_STATUS”, “OBS_CONF”, “OBS_ROUND”, “UNIT_MULTIPLIER”, “TIME_FORMAT”, “UNIT”, “TITLE_COMPL”))</td>
<td align="left">list(codelist = c(“CL_6_1_GEOGRAPHY”, “CL_6_1_SEX”, “CL_6_1_ITEM”, “CL_6_1_OCCUPATION”, “CL_6_1_MEASURES”, “CL_6_1_FREQ”), conceptref = c(“GEOGRAPHY”, “SEX”, “ITEM”, “OCCUPATION”, “MEASURES”, “FREQ”), isfrequencydimension = c(NA, NA, NA, NA, NA, “true”))</td>
<td align="left">OBS_VALUE</td>
<td align="left">CL_6_1_TIME</td>
<td align="left">TIME</td>
<td align="left">A quarterly count of Jobseeker’s Allowance claimants analysed by their sought and usual occupation.</td>
<td align="left">en</td>
<td align="left">claimant count - occupation</td>
<td align="left">en</td>
</tr>
</tbody>
</table>
<p>That gives a list of 1242 tables.</p>
</div>
<div id="tables-on-heating" class="section level1">
<h1><span class="header-section-number">3</span> Tables on heating</h1>
<p>The following are the tables that have ‘heating’ in the name…</p>
<pre class="r"><code>knitr::kable(caption = "List of NOMIS tables with 'heating' in the name", nomisTablesDT[name.value %like% "heat"])</code></pre>
<table>
<caption>List of NOMIS tables with ‘heating’ in the name</caption>
<thead>
<tr class="header">
<th align="left">agencyid</th>
<th align="left">id</th>
<th align="left">uri</th>
<th align="right">version</th>
<th align="left">annotations.annotation</th>
<th align="left">components.attribute</th>
<th align="left">components.dimension</th>
<th align="left">components.primarymeasure.conceptref</th>
<th align="left">components.timedimension.codelist</th>
<th align="left">components.timedimension.conceptref</th>
<th align="left">description.value</th>
<th align="left">description.lang</th>
<th align="left">name.value</th>
<th align="left">name.lang</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_146_1</td>
<td align="left">Nm-146d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Average bedrooms per household,Average rooms per household,Bedrooms,Central Heating,Household,Household size,Occupancy rating,Rooms”, “Households”, “census_2011_ks”, “oa,ps”, “2.2”, “All households”, “c2011ks403ew”, “2013-02-08 09:30:00”, “2014-01-17 12:00:00”, “2014-01-17 12:00:00”, “Rooms, bedrooms and central heating”, “This table provides information about the rooms, bedrooms and central heating in households, for England and Wales as at census day, 27 March 2011. It includes information about the average size of households, whether they have central heating, the number of rooms and bedrooms, and the occupancy rating of the household (based on both rooms and bedrooms).”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">In order t</td>
<td align="left">o protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”LastRevised“,”MetadataTitle0“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_146_1_GEOGRAPHY“,”CL_146_1_RURAL_URBAN“,”CL_146_1_CELL“,”CL_146_1_MEASURES“,”CL_146_1_FREQ“), conceptref = c(”GEOGRAPHY“,”RURAL_URBAN“,”CELL“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA,”true“)) OBS_VALUE CL_146_1_TIME TIME NA NA KS403EW - Rooms, bedrooms and central heating en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_547_1</td>
<td align="left">Nm-547d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Central Heating,Household,Household space,Occupied household space”, “Household spaces”, “census_2011_qs”, “oa,ps”, “2.2”, “All household spaces with at least one usual resident”, “c2011qs415ew”, “2013-01-30 09:30:00”, “2013-01-30 09:30:00”, “This dataset provides 2011 estimates that classify occupied household spaces in England and Wales by the types of central heating present. The estimates are as at census day, 27 March 2011. central heating classifications used in this dataset follow the single tick box options on the questionnaire with an additional category for multiple tick options. Although similar to the estimates provided from the 2001 Census in table UV60, central heating was grouped with other household amenities and did not provide this level of detail.information will support work on housing deprivation where access to central heating is used as a measure of deprivation. It will also contribute to work being undertaken by both central and local government; to meet the thermal comfort criteria of the decent homes standard; related work on assessing housing fitness; development of policies to improve housing quality; and to direct resources to the areas of greatest need.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">In order t</td>
<td align="left">o protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_547_1_GEOGRAPHY“,”CL_547_1_RURAL_URBAN“,”CL_547_1_CELL“,”CL_547_1_MEASURES“,”CL_547_1_FREQ“), conceptref = c(”GEOGRAPHY“,”RURAL_URBAN“,”CELL“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA,”true“)) OBS_VALUE CL_547_1_TIME TIME NA NA QS415EW - Central heating en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_714_1</td>
<td align="left">Nm-714d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Central Heating,Dwelling,Ethnic Group,HRP (Household reference person),Occupancy rating,Rooms”, “Households”, “census_2011_dc”, “msoa,ward”, “3.2a”, “All households”, “c2011dc4205ew”, “2013-06-28 09:30:00”, “2013-06-28 09:30:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by dwelling type, by type of central heating in household, by occupancy rating (rooms) and by ethnic group of Household Reference Person. The estimates are as at census day, 27 March 2011.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">In order t</td>
<td align="left">o protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_714_1_GEOGRAPHY“,”CL_714_1_C_HHSDUK11“,”CL_714_1_C_CENHEATHUK11“,”CL_714_1_OCCRATROOM“,”CL_714_1_C_ETHHUK11“,”CL_714_1_MEASURES“,”CL_714_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_HHSDUK11“,”C_CENHEATHUK11“,”OCCRATROOM“,”C_ETHHUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_714_1_TIME TIME NA NA DC4205EW - Dwelling type by type of central heating in household by occupancy rating (rooms) by ethnic group of Household Reference Person (HRP) en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_715_1</td>
<td align="left">Nm-715d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Central Heating,Dwelling,Ethnic Group,HRP (Household reference person),Occupancy rating,Bedrooms”, “Households”, “census_2011_dc”, “msoa,ward”, “3.2a”, “All households”, “c2011dc4206ew”, “2013-06-28 09:30:00”, “2014-01-17 12:00:00”, “2014-01-17 12:00:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by dwelling type, by type of central heating in household, by occupancy rating (bedrooms) and by ethnic group of Household Reference Person. The estimates are as at census day, 27 March 2011.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">In order t</td>
<td align="left">o protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”LastRevised“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_715_1_GEOGRAPHY“,”CL_715_1_C_HHSDUK11“,”CL_715_1_C_CENHEATHUK11“,”CL_715_1_OCCRATBROOM“,”CL_715_1_C_ETHHUK11“,”CL_715_1_MEASURES“,”CL_715_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_HHSDUK11“,”C_CENHEATHUK11“,”OCCRATBROOM“,”C_ETHHUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_715_1_TIME TIME NA NA DC4206EW - Dwelling type by type of central heating in household by occupancy rating (bedrooms) by ethnic group of Household Reference Person (HRP) en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_716_1</td>
<td align="left">Nm-716d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Central Heating,Dwelling,Religion,HRP (Household reference person),Occupancy rating,Rooms”, “Households”, “census_2011_dc”, “msoa,ward”, “3.2a”, “All households”, “c2011dc4207ew”, “2013-06-28 09:30:00”, “2013-06-28 09:30:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by dwelling type, by type of central heating in household, by occupancy rating (rooms) and by religion of Household Reference Person. The estimates are as at census day, 27 March 2011.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">In order t</td>
<td align="left">o protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_716_1_GEOGRAPHY“,”CL_716_1_C_HHSDUK11“,”CL_716_1_C_CENHEATHUK11“,”CL_716_1_OCCRATROOM“,”CL_716_1_RELPUK11_HRPPUK11“,”CL_716_1_MEASURES“,”CL_716_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_HHSDUK11“,”C_CENHEATHUK11“,”OCCRATROOM“,”RELPUK11_HRPPUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_716_1_TIME TIME NA NA DC4207EW - Dwelling type by type of central heating in household by occupancy rating (rooms) by religion of Household Reference Person (HRP) en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_717_1</td>
<td align="left">Nm-717d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Central Heating,Dwelling,Religion,HRP (Household reference person),Occupancy rating,Bedrooms”, “Households”, “census_2011_dc”, “msoa,ward”, “3.2a”, “All households”, “c2011dc4208ew”, “2013-06-28 09:30:00”, “2014-01-17 12:00:00”, “2014-01-17 12:00:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by dwelling type, by type of central heating in household, by occupancy rating (bedrooms) and by religion of Household Reference Person. The estimates are as at census day, 27 March 2011.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">In order t</td>
<td align="left">o protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”LastRevised“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_717_1_GEOGRAPHY“,”CL_717_1_C_HHSDUK11“,”CL_717_1_C_CENHEATHUK11“,”CL_717_1_OCCRATBROOM“,”CL_717_1_RELPUK11_HRPPUK11“,”CL_717_1_MEASURES“,”CL_717_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_HHSDUK11“,”C_CENHEATHUK11“,”OCCRATBROOM“,”RELPUK11_HRPPUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_717_1_TIME TIME NA NA DC4208EW - Dwelling type by type of central heating in household by occupancy rating (bedrooms) by religion of Household Reference Person (HRP) en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_719_1</td>
<td align="left">Nm-719d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Accommodation type,Central Heating,Tenure”, “Households”, “census_2011_dc”, “msoa,ward”, “3.2a”, “All households”, “c2011dc4402ew”, “2013-06-28 09:30:00”, “2013-06-28 09:30:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by accommodation type, by type of central heating in household and by tenure. The estimates are as at census day, 27 March 2011.”, “Statistical Disclosure Control”, “In order to protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_719_1_GEOGRAPHY“,”CL_719_1_C_TYPACCOM“,”CL_719_1_C_CENHEATHUK11“,”CL_719_1_C_TENHUK11“,”CL_719_1_MEASURES“,”CL_719_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_TYPACCOM“,”C_CENHEATHUK11“,”C_TENHUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_719_1_TIME TIME NA NA DC4402EW - Accommodation type by type of central heating in household by tenure en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_887_1</td>
<td align="left">Nm-887d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Accommodation type,Central Heating,Tenure”, “Households”, “census_2011_lc”, “oa,ps”, “4.4b”, “All Households”, “c2011lc4402ew”, “2014-01-23 09:30:00”, “2014-01-23 09:30:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by accommodation type, by type of central heating in household and by tenure. The estimates are as at census day, 27 March 2011.”, “Statistical Disclosure Control”, “In order to protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_887_1_GEOGRAPHY“,”CL_887_1_C_TYPACCOM“,”CL_887_1_C_CENHEATHUK11“,”CL_887_1_C_TENHUK11“,”CL_887_1_MEASURES“,”CL_887_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_TYPACCOM“,”C_CENHEATHUK11“,”C_TENHUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_887_1_TIME TIME NA NA LC4402EW - Accommodation type by type of central heating in household by tenure en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">NOMIS</td>
<td align="left">NM_894_1</td>
<td align="left">Nm-894d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Central Heating,Occupancy rating,Rooms,Age”, “Persons”, “census_2011_lc”, “oa,ps”, “4.4b”, “All usual residents in households”, “c2011lc4410ew”, “2014-01-23 09:30:00”, “2014-01-23 09:30:00”, “This dataset provides 2011 Census estimates that classify usual residents in households in England and Wales by type of central heating in household, by occupancy rating (rooms) and by age. The estimates are as at census day, 27 March 2011.”, “Statistical Disclosure Control”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">“In order t</td>
<td align="left">o protect ag</td>
<td align="left">ainst disclo</td>
<td align="right">sure of pe</td>
<td align="left">rsonal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_894_1_GEOGRAPHY“,”CL_894_1_C_CENHEATHUK11“,”CL_894_1_OCCRATROOM“,”CL_894_1_C_AGE“,”CL_894_1_MEASURES“,”CL_894_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_CENHEATHUK11“,”OCCRATROOM“,”C_AGE“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_894_1_TIME TIME NA NA LC4410EW - Type of central heating in household by occupancy rating (rooms) by age en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_897_1</td>
<td align="left">Nm-897d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Occupancy rating,Rooms,Central Heating”, “Households”, “census_2011_lc”, “oa,ps”, “4.4b”, “All Households”, “c2011lc4413ew”, “2014-01-23 09:30:00”, “2014-01-23 09:30:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by occupancy rating (rooms) and by type of central heating in household. The estimates are as at census day, 27 March 2011.”, “Statistical Disclosure Control”, “In order to protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_897_1_GEOGRAPHY“,”CL_897_1_OCCRATROOM“,”CL_897_1_C_CENHEATHUK11“,”CL_897_1_MEASURES“,”CL_897_1_FREQ“), conceptref = c(”GEOGRAPHY“,”OCCRATROOM“,”C_CENHEATHUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA,”true“)) OBS_VALUE CL_897_1_TIME TIME NA NA LC4413EW - Occupancy rating (rooms) by type of central heating in household en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_898_1</td>
<td align="left">Nm-898d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Occupancy rating,Bedrooms,Central Heating”, “Households”, “census_2011_lc”, “oa,ps”, “4.4b”, “All Households”, “c2011lc4414ew”, “2014-01-23 09:30:00”, “2014-01-23 09:30:00”, “This dataset provides 2011 Census estimates that classify households in England and Wales by occupancy rating (bedrooms) and by type of central heating in household. The estimates are as at census day, 27 March 2011.”, “Statistical Disclosure Control”, “In order to protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.”,</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="odd">
<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_898_1_GEOGRAPHY“,”CL_898_1_OCCRATBROOM“,”CL_898_1_C_CENHEATHUK11“,”CL_898_1_MEASURES“,”CL_898_1_FREQ“), conceptref = c(”GEOGRAPHY“,”OCCRATBROOM“,”C_CENHEATHUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA,”true“)) OBS_VALUE CL_898_1_TIME TIME NA NA LC4414EW - Occupancy rating (bedrooms) by type of central heating in household en</td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
<td align="left"></td>
</tr>
<tr class="even">
<td align="left">NOMIS</td>
<td align="left">NM_1558_1</td>
<td align="left">Nm-1558d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Current (being actively updated)”, “Central Heating,Household,Household space,Occupied household space”, “Household spaces”, “census_2011_qsuk”, “oa”, “UK.2”, “All household spaces with at least one usual resident”, “c2011qs415uk”, “2014-06-13 09:30:00”, “2014-06-13 09:30:00”, “This dataset provides 2011 estimates that classify occupied household spaces in England and Wales by the types of central heating present. The estimates are as at census day, 27 March 2011. central heating classifications used in this dataset follow the single tick box options on the questionnaire with an additional category for multiple tick options. Although similar to the estimates provided from the 2001 Census in table UV60, central heating was grouped with other household amenities and did not provide this level of detail.information will support work on housing deprivation where access to central heating is used as a measure of deprivation. It will also contribute to work being undertaken by both central and local government; to meet the thermal comfort criteria of the decent homes standard; related work on assessing housing fitness; development of policies to improve housing quality; and to direct resources to the areas of greatest need.for Northern Ireland comes from table KS404NI.”,</td>
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<tr class="odd">
<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">In order t</td>
<td align="left">o protect against disclosure of personal information from the 2011 Census, there has been swapping of records in the Census database between different geographic areas, and so some counts will be affected. In the main, the greatest effects will be at the lowest geographies, since the record swapping is targeted towards those households with unusual characteristics in small areas.details on the ONS Census disclosure control strategy may be found on the <a href="http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html%5BStatistical" class="uri">http://www.ons.gov.uk/ons/guide-method/census/2011/census-data/2011-census-prospectus/new-developments-for-2011-census-results/statistical-disclosure-control/index.html[Statistical</a> Disclosure Control] page on the ONS web site.“,</td>
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<td align="left">“2”), annot</td>
<td align="left">ationtitle =</td>
<td align="left">c(“Status”,</td>
<td align="right">“Keywords</td>
<td align="left">“,”Units“,”contenttype/sources“,”contenttype/geoglevel“,”contenttype/censusrelease“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_1558_1_GEOGRAPHY“,”CL_1558_1_CELL“,”CL_1558_1_MEASURES“,”CL_1558_1_FREQ“), conceptref = c(”GEOGRAPHY“,”CELL“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA,”true“)) OBS_VALUE CL_1558_1_TIME TIME NA NA QS415UK - Central heating en</td>
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<td align="left">NOMIS</td>
<td align="left">NM_1627_1</td>
<td align="left">Nm-1627d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Historical (not actively being updated)”, “Amenities,Rooms,Central Heating”, “Households”, “oa,msoa,ward,la,region”, “KS”, “census_2001_ks”, “All households”, “ks019”, “2003-06-30 09:30:00”, “2003-06-30 09:30:00”, “This dataset is about Rooms, Amenities, Central Heating and Lowest Floor Level. It shows a range of information including average household size, the average number of rooms per household, amenities available to the household and the lowest floor level of the accommodation occupied by the household.”,</td>
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<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">Figures ha</td>
<td align="left">ve been randomly adjusted to avoid the release of confidential data“,”2“), annotationtitle = c(”Status“,”Keywords“,”Units“,”contenttype/geoglevel“,”contenttype/2001census“,”contenttype/sources“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_1627_1_GEOGRAPHY“,”CL_1627_1_C_HHCHUK11“,”CL_1627_1_MEASURES“,”CL_1627_1_FREQ“), conceptref = c(”GEOGRAPHY“,</td>
<td align="left">“C_HHCHUK11”, “MEASURES”, “FREQ”), isfrequencydimension = c(NA, NA, NA, “true”)) OBS_VALUE CL_1627_1_TIME TIME NA NA KS019 - Rooms, amenities, central heating and lowest floor level</td>
<td align="left">en</td>
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<td align="left">NOMIS</td>
<td align="left">NM_1718_1</td>
<td align="left">Nm-1718d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Historical (not actively being updated)”, “Sex,Shower,Limiting long-term illness,Central Heating,Bath,Amenities,Health”, “Persons”, “oa,msoa,ward,la,region”, “CS”, “census_2001_cs”, “All people in households”, “cs018”, “2003-08-30 09:30:00”, “2003-08-30 09:30:00”, “This dataset provides 2001 Census estimates that classify usual residents in households in England and Wales by sex and amenities and central heating by general health and limiting long-term illness. The estimates are as at census day, 29 April 2001.health refers to health over the 12 months prior to Census day (29 April 2001).”,</td>
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<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">Figures ha</td>
<td align="left">ve been randomly adjusted to avoid the release of confidential data“,”2“), annotationtitle = c(”Status“,”Keywords“,”Units“,”contenttype/geoglevel“,”contenttype/2001census“,”contenttype/sources“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_1718_1_GEOGRAPHY“,”CL_1718_1_C_SEX“,”CL_1718_1_C_AMEN“,”CL_1718_1_C_HEAT“,”CL_1718_1_C_HEALTH“,”CL_1718_1_C_ILLHUK11“,”CL_1718_1_MEASURES“,”CL_1718_1_FREQ“), conceptref = c(”GEOGRAPHY“,”C_SEX“,”C</td>
<td align="left">_AMEN“,”C_HEAT“,”C_HEALTH“,”C_ILLHUK11“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA, NA, NA,”true“)) OBS_VALUE CL_1718_1_TIME TIME NA NA CS018 - Sex and amenities and central heating by general health and limiting long-term illness en</td>
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<td align="left">NOMIS</td>
<td align="left">NM_1754_1</td>
<td align="left">Nm-1754d1</td>
<td align="right">1</td>
<td align="left">list(annotationtext = c(“Historical (not actively being updated)”, “Occupancy rating,Dwelling,Age”, “Persons”, “oa,msoa,ward,la,region”, “CS”, “census_2001_cs”, “All people in households”, “cs054”, “2003-08-30 09:30:00”, “2003-08-30 09:30:00”, “This dataset provides 2001 Census estimates that classify usual residents in households in England and Wales by shared/unshared dwelling and central heating and occupancy rating by age. The estimates are as at census day, 29 April 2001.occupancy rating provides a measure of under-occupancy and overcrowding. For example a value of -1 implies that there is one room too few and that there is overcrowding in the household. The occupancy rating assumes that every household, including one person households.”,</td>
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<td align="left">“Statistica</td>
<td align="left">l Disclosure</td>
<td align="left">Control“,”</td>
<td align="right">Figures ha</td>
<td align="left">ve been randomly adjusted to avoid the release of confidential data“,”2“), annotationtitle = c(”Status“,”Keywords“,”Units“,”contenttype/geoglevel“,”contenttype/2001census“,”contenttype/sources“,”SubDescription“,”Mnemonic“,”FirstReleased“,”LastUpdated“,”MetadataText0“,”MetadataTitle1“,”MetadataText1“,”MetadataCount“)) list(assignmentstatus = c(”Mandatory“,”Conditional“,”Conditional“,”Conditional“,”Mandatory“,”Mandatory“,”Mandatory“), attachmentlevel = c(”Observation“,”Observation“,”Observation“,”Series“,”Series“,”Series“,”Series“), codelist = c(”CL_OBS_STATUS“,”CL_OBS_CONF“,”CL_OBS_ROUND“,”CL_UNIT_MULT“,”CL_TIME_FORMAT“,”CL_UNIT“, NA), conceptref = c(”OBS_STATUS“,”OBS_CONF“,”OBS_ROUND“,”UNIT_MULTIPLIER“,”TIME_FORMAT“,”UNIT“,”TITLE_COMPL“)) list(codelist = c(”CL_1754_1_GEOGRAPHY“,”CL_1754_1_SHARED“,”CL_1754_1_C_HEAT“,”CL_1754_1_OCCRAT“,”CL_1754_1_C_AGE“,”CL_1754_1_MEASURES“,”CL_1754_1_FREQ“), conceptref = c(”GEOGRAPHY“,”SHARED“,”C_HEAT“,”OCCRAT“,”C_AGE“,”MEASURES“,”FREQ“), isfrequencydimension = c(NA, NA, NA, NA, NA, NA,”true“))</td>
<td align="left">OBS_VALUE CL_1754_1_TIME TIME NA NA CS054 - Shared/unshared dwelling and central heating and occupancy rating by age en</td>
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<td align="left">NOMIS</td>
<td align="left">NM_1755_1</td>
<td align="left">Nm-1755d1</td>