Questionnaire Pathways Guidance Note

1. Introduction

1.1 Overview

The 2023 CDP-ICLEI Track Questionnaire is divided into three distinct pathways. These three pathways streamline reporting, allowing local jurisdictions to find the most appropriate questionnaire for their local context.
Respondents will be recommended a pathway during the questionnaire activation process based upon their response to three jurisdictional attributes. Jurisdictions are provided the flexibility to change their pathway if required. They can also return to their dashboard and change the pathway selected prior to submitting the response.
An increase in the pathways is accompanied by an increase in the number of questions.
The pathway selected does not affect meeting the reporting requirements of the projects and initiatives the jurisdiction is participating in and it does not affect CDP scoring or Global Covenant of Mayors badging.

1.2 Questions by Pathway

An increase in the pathways is accompanied by a gradual increase in the number of questions. A high-level breakdown is provided in the table below and the complete breakdown can be viewed in the Questionnaire Mapping Document.

Pathway	Number of Questions	View Questionnaire by Pathway
1	27	View the Pathway 1 Questionnaire
2	34	View the Pathway 2 Questionnaire
3	43	View the Pathway 3 Questionnaire

2. Process

2.1 Questionnaire Activation Process

Respondents will be recommended a pathway during the questionnaire activation process based upon their response to three jurisdictional attributes, however flexibility is provided so that any pathway can be selected.
Respondents are required to activate their response each year, with this five-step process (as outlined in the table below) including a step titled 'Questionnaire Pathway Selection'.

Activation Process
Step 1: Get Started Step 2: Confirm Main User Step 3: Opt-in to Projects Step 4: Questionnaire Pathway Selection Step 5: Start Questionnaire

2.2 Questionnaire Pathway Selection

The Questionnaire Pathway Selection is a 2-step process. In the first step 'Jurisdiction Details' the respondent responds to three jurisdictional attributes and in the second step 'My Questionnaire Pathway' the respondent selects their pathway.
Respondents will be presented with three questions in the Questionnaire Pathway Selection screen. The purpose of these questions is to inform the pathway that the responding jurisdiction will be recommended to report against. The questions request the respondent to select the options that most accurately reflect the jurisdictions population, emissions per capita and human development index.
The options for both the emissions per capita and human development index are prepopulated based on the country/area/region of the responding jurisdiction. These selections can be changed by the jurisdiction should local and/or regional data be available and different to the prepopulated selection. Once the three attributes have a response the recommended pathway can then be selected.
The respondent can then proceed to the questionnaire using the recommended pathway by clicking the 'Enter questionnaire' button to the bottom right of the screen or the respondent can select any of the other two pathways by clicking on the link in the presented sentence 'To change your pathway, click here.' Once this link is clicked the other pathway options will be presented
The questions and applicable responses are outlined in the table below while further information on the methodology for the recommendation is provided in Section 2.3.

Attributes that inform pathway recommendation
Jurisdiction Population < 500,000 500,000 - 1,500,000 > 1,500,000 Per Capita Emissions¹ < 3 metric tonnes CO2e/capita 3-5 metric tonnes CO2e/capita > 5 metric tonnes CO2e/capita Human Development Index (per UN classification)² Low or Medium (< 0.7) High (0.7 - 0.799) Very high(>0.8)

Attributes that inform pathway recommendation

Jurisdiction Population

< 500,000
500,000 - 1,500,000
> 1,500,000

Per Capita Emissions¹

< 3 metric tonnes CO2e/capita
3-5 metric tonnes CO2e/capita
> 5 metric tonnes CO2e/capita

Human Development Index (per UN classification)²

Low or Medium (< 0.7)
High (0.7 - 0.799)
Very high(>0.8)

^{1 Global Carbon Project. 2021. Supplemental data of Global Carbon Budget 2021 (Version 1.0) [Data set]. Global Carbon Project. https://doi.org/10.18160/gcp-2021}

^{2 UNDP (United Nations Development Programme). 2022. Human Development Report 2021-22: Uncertain Times, Unsettled Lives: Shaping our Future in a Transforming World. New York.}

2.3 Pathway Recommendation Calculation

The questionnaire pathway recommendation is based on the questionnaire pathway index value. The questionnaire pathway index is a summary measure related to the dimensions of population, emissions per capita and human development. In order to transform the indicators expressed in different units into indices between 0 and 1 each indicator is subdivided into three ranges and each range is assigned an index value. The geometric mean of these three indices is then used to generate the questionnaire pathway index value, as detailed in the tables below.

Dimension 1: Population

Range	Index Value
<500,000	0.33333
500,000 - 1,500,000	0.66666
>1,500,000	1

Indicator 2: Emissions per capita

Range	Index Value
<3 tonnes per capita	0.33333
3-5 tonnes per capita	0.66666
>5 tonnes per capita	1

Indicator 3: Human Development Index

Range	Index Value
Low or Medium	0.33333
High	0.66666
Very high	1

Relationship of Index Value Geometric Mean and Recommended Questionnaire Pathway

Index Value Geometric Mean	Recommended Questionnaire Pathway
<0.65	Pathway 1
0.65-0.8	Pathway 2
>0.8	Pathway 3

3. Human Development Index (HDI) and Emissions Per Capita Prepopulated Responses

The response options for both the emissions per capita and human development index (HDI) are prepopulated based on the country/area/region of the responding jurisdiction. The jurisdiction can change these selections should local and/or regional data be available and different from the prepopulated selection. The table below indicates the response options prepopulated based on the country/area/region. The data for HDI is sourced from the United Nations Human Development Report 2021/22² while emissions data is sourced from the Global Carbon Project¹ and is based upon the average of national emissions from the years 2018, 2019 and 2020.

ISO Code	Country/Area/Region Name	Human Development Index (HDI) - Populated Response	Emissions Per Capita - Populated Response
AF	Afghanistan	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
AX	Åland Islands	Very High (> 0.8)	No prepopulation possible
AL	Albania	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
DZ	Algeria	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
AS	American Samoa	Low, Medium (< 0.7)	No prepopulation possible
AD	Andorra	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
AO	Angola	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
AI	Anguilla	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
AQ	Antarctica	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
AG	Antigua and Barbuda	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
AR	Argentina	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
AM	Armenia	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
AW	Aruba	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
AU	Australia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
AT	Austria	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
AZ	Azerbaijan	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
BS	Bahamas	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
BH	Bahrain	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
BD	Bangladesh	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BB	Barbados	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
BY	Belarus	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
BE	Belgium	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
BZ	Belize	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BJ	Benin	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BM	Bermuda	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
BT	Bhutan	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BO	Bolivia (Plurinational State of)	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BQ	Bonaire, Sint Eustatius and Saba	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
BA	Bosnia & Herzegovina	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
BW	Botswana	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BV	Bouvet Island	Low, Medium (< 0.7)	No prepopulation possible
BR	Brazil	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
IO	British Indian Ocean Territory	Low, Medium (< 0.7)	No prepopulation possible
VG	British Virgin Islands	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
BN	Brunei Darussalam	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
BG	Bulgaria	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
BF	Burkina Faso	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BI	Burundi	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CV	Cabo Verde	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
KH	Cambodia	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CM	Cameroon	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CA	Canada	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
KY	Cayman Islands	Very High (> 0.8)	No prepopulation possible
CF	Central African Republic	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
TD	Chad	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CL	Chile	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
CN	China	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
HK	China, Hong Kong Special Administrative Region	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
MO	China, Macao Special Administrative Region	Very High (> 0.8)	< 3 metric tonnes CO2e per capita
CX	Christmas Island	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CC	Cocos (Keeling) Islands	Low, Medium .(< 0.7)	No prepopulation possible
CO	Colombia	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
KM	Comoros	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CG	Congo	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CK	Cook Islands	Low, Medium (< 0.7)	3-5 metric tonnes CO2e per capita
CR	Costa Rica	Very High (> 0.8)	< 3 metric tonnes CO2e per capita
CI	Côte d'Ivoire	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
HR	Croatia	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
CU	Cuba	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
CW	Curaçao	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
CY	Cyprus	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
CZ	Czechia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
KP	Democratic People's Republic of Korea	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
CD	Democratic Republic of the Congo	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
DK	Denmark	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
DJ	Djibouti	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
DM	Dominica	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
DO	Dominican Republic	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
EC	Ecuador	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
EG	Egypt	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
SV	El Salvador	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
GQ	Equatorial Guinea	Low, Medium (< 0.7)	> 5 metric tonnes CO2e per capita
ER	Eritrea	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
EE	Estonia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
SZ	Eswatini	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
ET	Ethiopia	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
FK	Falkland Islands (Malvinas)	Low, Medium (< 0.7)	No prepopulation possible
FO	Faroe Islands	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
FJ	Fiji	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
FI	Finland	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
FR	France	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
GF	French Guiana	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
PF	French Polynesia	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
TF	French Southern Territories	Low, Medium (< 0.7)	No prepopulation possible
GA	Gabon	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
GM	Gambia	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
GE	Georgia	Very High (> 0.8)	< 3 metric tonnes CO2e per capita
DE	Germany	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
GH	Ghana	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
GI	Gibraltar	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
GR	Greece	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
GL	Greenland	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
GD	Grenada	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
GP	Guadeloupe	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
GU	Guam	High (0.7-0.8)	No prepopulation possible
GT	Guatemala	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
GG	Guernsey	Very High (> 0.8)	No prepopulation possible
GN	Guinea	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
GW	Guinea-Bissau	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
GY	Guyana	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
HT	Haiti	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
HM	Heard Island and McDonald Islands	Low, Medium (< 0.7)	No prepopulation possible
VA	Holy See	Low, Medium (< 0.7)	No prepopulation possible
HN	Honduras	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
HU	Hungary	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
IS	Iceland	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
IN	India	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
ID	Indonesia	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
IR	Iran (Islamic Republic of)	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
IQ	Iraq	Low, Medium (< 0.7)	> 5 metric tonnes CO2e per capita
IE	Ireland	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
IM	Isle of Man	Very High (> 0..8)	No prepopulation possible
IL	Israel	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
IT	Italy	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
JM	Jamaica	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
JP	Japan	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
JE	Jersey	Very High (> 0.8)	No prepopulation possible
JO	Jordan	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
KZ	Kazakhstan	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
KE	Kenya	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
KI	Kiribati	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
KW	Kuwait	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
KG	Kyrgyzstan	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
LA	Lao People's Democratic Republic	Low, Medium (< 0.7)	3-5 metric tonnes CO2e per capita
LV	Latvia	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
LB	Lebanon	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
LS	Lesotho	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
LR	Liberia	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
LY	Libya	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
LI	Liechtenstein	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
LT	Lithuania	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
LU	Luxembourg	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
MG	Madagascar	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MW	Malawi	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MY	Malaysia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
MV	Maldives	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
ML	Mali	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MT	Malta	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
MH	Marshall Islands	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MQ	Martinique	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
MR	Mauritania	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MU	Mauritius	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
YT	Mayotte	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
MX	Mexico	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
FM	Micronesia (Federated States of)	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MC	Monaco	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
MN	Mongolia	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
ME	Montenegro	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
MS	Montserrat	Low, Medium (< 0.7)	> 5 metric tonnes CO2e per capita
MA	Morocco	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MZ	Mozambique	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
MM	Myanmar	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
NA	Namibia	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
NR	Nauru	Low, Medium (< 0.7)	> 5 metric tonnes CO2e per capita
NP	Nepal	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
NL	Netherlands	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
NC	New Caledonia	Low, Medium (< 0.7)	> 5 metric tonnes CO2e per capita
NZ	New Zealand	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
NI	Nicaragua	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
NE	Niger	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
NG	Nigeria	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
NU	Niue	Low, Medium (< 0.7)	> 5 metric tonnes CO2e per capita
NF	Norfolk Island	Low, Medium (< 0.7)	No prepopulation possible
MK	North Macedonia	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
MP	Northern Mariana Islands	High (0.7-0.8)	No prepopulation possible
NO	Norway	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
OM	Oman	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
PK	Pakistan	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
PW	Palau	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
PA	Panama	Very High (> 0.8)	< 3 metric tonnes CO2e per capita
PG	Papua New Guinea	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
PY	Paraguay	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
PE	Peru	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
PH	Philippines	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
PN	Pitcairn	Low, Medium (< 0.7)	No prepopulation possible
PL	Poland	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
PT	Portugal	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
PR	Puerto Rico	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
QA	Qatar	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
KR	Republic of Korea	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
MD	Republic of Moldova	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
RE	Réunion	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
RO	Romania	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
RU	Russian Federation	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
RW	Rwanda	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
BL	Saint Barthélemy	High (0.7-0.8)	No prepopulation possible
SH	Saint Helena	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
KN	Saint Kitts and Nevis	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
LC	Saint Lucia	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
MF	Saint Martin (French Part)	Low, Medium (< 0.7)	No prepopulation possible
PM	Saint Pierre and Miquelon	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
VC	Saint Vincent and the Grenadines	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
WS	Samoa	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
SM	San Marino	Very High (> 0.8)	No prepopulation possible
ST	Sao Tome and Principe	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
SA	Saudi Arabia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
SN	Senegal	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
RS	Serbia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
SC	Seychelles	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
SL	Sierra Leone	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
SG	Singapore	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
SX	Sint Maarten (Dutch part)	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
SK	Slovakia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
SI	Slovenia	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
SB	Solomon Islands	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
SO	Somalia	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
ZA	South Africa	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
GS	South Georgia and the South Sandwich Islands	Low, Medium (< 0.7)	No prepopulation possible
SS	South Sudan	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
ES	Spain	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
LK	Sri Lanka	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
PS	State of Palestine	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
SD	Sudan	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
SR	Suriname	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
SJ	Svalbard and Jan Mayen Islands	Low, Medium (< 0.7)	No prepopulation possible
SE	Sweden	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
CH	Switzerland	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
SY	Syrian Arab Republic	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
TJ	Tajikistan	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
TH	Thailand	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
TL	Timor-Leste	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
TG	Togo	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
TK	Tokelau	Low, Medium (< 0.7)	No prepopulation possible
TO	Tonga	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
TT	Trinidad and Tobago	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
TN	Tunisia	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
TR	Turkey	Very High (> 0.8)	3-5 metric tonnes CO2e per capita
TM	Turkmenistan	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
TC	Turks and Caicos Islands	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
TV	Tuvalu	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
UG	Uganda	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
UA	Ukraine	High (0.7-0.8)	> 5 metric tonnes CO2e per capita
AE	United Arab Emirates	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
GB	United Kingdom of Great Britain and Northern Ireland	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
TZ	United Republic of Tanzania	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
UM	United States Minor Outlying Islands	Low, Medium (< 0.7)	No prepopulation possible
US	United States of America	Very High (> 0.8)	> 5 metric tonnes CO2e per capita
VI	United States Virgin Islands	High (0.7-0.8)	No prepopulation possible
UY	Uruguay	Very High (> 0.8)	< 3 metric tonnes CO2e per capita
UZ	Uzbekistan	High (0.7-0.8)	3-5 metric tonnes CO2e per capita
VU	Vanuatu	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
VE	Venezuela (Bolivarian Republic of)	Low, Medium (< 0.7)	3-5 metric tonnes CO2e per capita
VN	Viet Nam	High (0.7-0.8)	< 3 metric tonnes CO2e per capita
WF	Wallis and Futuna Islands	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
EH	Western Sahara	Low, Medium (< 0.7)	No prepopulation possible
YE	Yemen	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
ZM	Zambia	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita
ZW	Zimbabwe	Low, Medium (< 0.7)	< 3 metric tonnes CO2e per capita

^{1 Global Carbon Project. 2021. Supplemental data of Global Carbon Budget 2021 (Version 1.0) [Data set]. Global Carbon Project. https://doi.org/10.18160/gcp-2021}

^{2 UNDP (United Nations Development Programme). 2022. Human Development Report 2021-22: Uncertain Times, Unsettled Lives: Shaping our Future in a Transforming World. New York.}

Questionnaire Pathway Map

The 2023 CDP-ICLEI Track Questionnaire is divided into three distinct pathways. An increase in the pathways is accompanied by an increase in the number of questions.
The Questionnaire Pathway Map outlines the questions, and where relevant the columns/rows, which are presented within each pathway.
If your jurisdiction participates in certain projects or initiatives there may be modifications to the questions and/or columns/rows presented to ensure your questionnaire aligns with the reporting requirements of the applicable project or initiative. Please see the 'Column/Row Modifications' in the tables below to view potential additional columns/rows and the table 'Projects and Initiatives - Additional Questions' to view potential additional questions.

Pathway 1

Question Number	Question Text	Column/Row Modifications
0.1	Provide details of your jurisdiction in the table below.	N/A
1.1	Has a climate risk and vulnerability assessment been undertaken for your jurisdiction? If not, please indicate why.	N/A
1.1a	Provide details on your climate risk and vulnerability assessment.	Pathway 1: Columns 1-5 GCoM and ICLEI GreenClimateCities presented the complete question
1.2	Provide details on the most significant climate hazards faced by your jurisdiction.	Pathway 1: Columns 1-5 GCoM, ICLEI GreenClimateCities and WWF One Planet City Challenge presented the complete question
1.3	Identify and describe the most significant factors impacting on your jurisdiction’s ability to adapt to climate change and indicate how those factors either support or challenge this ability.	N/A
2.1	Does your jurisdiction have a community-wide emissions inventory to report?	N/A
2.1a	Provide information on and an attachment (in spreadsheet format)/direct link to your main community-wide GHG emissions inventory.	Pathway 1, 2 and 3: Columns 1-9 and 13 ICLEI GreenClimateCities, WWF One Planet City Challenge, and NetZeroCities Initiative presented the complete question
2.1b	Provide a breakdown of your community-wide emissions by scope. If the inventory has been developed using the Global Protocol for Community Greenhouse Gas Emissions Inventories (GPC) you will also be requested to provide a breakdown by sector.	Pathway 1: Rows 1-4 (Total emissions only) ICLEI GreenClimateCities, WWF One Planet City Challenge, and NetZeroCities Initiative presented the complete question
2.1c	Provide a breakdown of your community-wide emissions in the format of the Common Reporting Framework.	Pathway 1: Rows 30 and 31 (Total emissions only) GCoM, ICLEI GreenClimateCities, WWF One Planet City Challenge, and NetZeroCities Initiative presented the complete question
3.1	Report the following information regarding your jurisdiction-wide energy consumption.	Pathway 1: Columns 1, 2 and 5 ICLEI GreenClimateCities, 100% Renewables Cities and Regions Network and NetZeroCities Initiative also presented column 3 GCoM presented the complete question
3.5	Report your jurisdiction's passenger and/or freight mode share data.	Pathway 1: Rows 1-12 (Passenger mode share only) ICLEI Ecomobility Alliance and NetZeroCities Initiative presented the complete question
3.7	Report the following waste-related data for your jurisdiction.	Pathway 1: Row 1 (Total solid waste only) NetZeroCities Initiative presented the complete question
3.8	Report on how climate change impacts health outcomes and health services in your jurisdiction.	Pathway 1: Columns 1-3 NetZeroCities Initiative presented the complete question
3.10	Provide details of the household access to water, sanitation services and water consumption in your jurisdiction.	N/A
3.11	What percentage of your population is food insecure and/or lives in a food desert?	N/A
4.1	Does your jurisdiction have an adaptation goal(s) in place? If no active adaptation goal is in place, please indicate the primary reason why.	N/A
4.1a	Report your jurisdiction’s main adaptation goals.	N/A
5.1	Does your jurisdiction have an active greenhouse gas emission reduction target(s) in place? Please include long-term and/or mid-term targets. If no active GHG emissions reduction target is in place, please indicate the primary reason why.	N/A
5.1a	Provide details of your emissions reduction target(s). Please report both long-term and mid-term targets, if applicable.	N/A
5.1b	Provide details on the current or planned use of carbon credits sold to or purchased from outside the jurisdiction or target boundary.	N/A
6.1	Provide details of your jurisdiction's energy-related targets active in the reporting year. In addition, you can report other climate-related targets active in the reporting year.	N/A
7.1	Does your jurisdiction have a climate action plan or strategy that addresses mitigation, adaptation (resilience) and/or energy?	N/A
7.1a	Report details on the climate action plan or strategy that addresses mitigation, adaptation (resilience) and/or energy-related issues in your jurisdiction.	Pathway 1: Columns 1 - 8 GCoM and ICLEI GreenClimateCities, WWF One Planet City Challenge and NetZeroCities Initiative presented the complete question
7.5	Describe any planned climate-related projects within your jurisdiction for which you hope to attract financing.	N/A
8.1	Describe the outcomes of the most significant adaptation actions your jurisdiction is currently undertaking. Note that this can include those in the planning and/or implementation phase.	Pathway 1: Columns 1 - 9 GCoM, ICLEI GreenClimateCities, 100% Renewables Cities and Regions Network, WWF One Planet City Challenge and NetZeroCities Initiative presented columns 1-12 Column 13 is GCoM only
9.1	Describe the outcomes of the most significant mitigation actions your jurisdiction is currently undertaking. Note that this can include those in the planning and/or implementation phases.	Pathway 1: Column 1 - 10 GCoM, ICLEI GreenClimateCities, 100% Renewables Cities and Regions Network, ICLEI Ecomobility Alliance, ICLEI Transformative Actions Program, WWF One Planet City Challenge and NetZeroCities Initiative presented columns 1-13 Column 14 is GCoM only

Pathway 2 - Additional Questions (7) and/or Columns/Rows

Responding jurisdictions who select Pathway 2 will be presented with the questions as outlined in Pathway 1 in addition to the questions and columns/row as outlined in the table below.

Question Number	Question Text	Column/Row Modifications
0.2	Provide information on your jurisdiction’s oversight of climate-related risks and opportunities and how these issues have impacted your jurisdiction's planning.	N/A
0.3	Report how your jurisdiction assesses the wider environmental, social and economic opportunities and benefits of climate action.	N/A
0.4	Report on your engagement with other levels of government regarding your jurisdiction's climate action.	N/A
0.5	Report your jurisdiction's most significant examples of collaboration with governments, business, and/or civil society on climate-related issues.	N/A
1.1a	Provide details on your climate risk and vulnerability assessment.	Pathway 2 and 3: Columns 1-7 (Complete question)
1.2	Provide details on the most significant climate hazards faced by your jurisdiction.	Pathway 2 and 3: Columns 1-11 (Complete question)
2.1b	Provide a breakdown of your community-wide emissions by scope. If the inventory has been developed using the Global Protocol for Community Greenhouse Gas Emissions Inventories (GPC) you will also be requested to provide a breakdown by sector.	Pathway 2 and 3: Rows 1-17 (Complete question)
2.1c	Provide a breakdown of your community-wide emissions in the format of the Common Reporting Framework.	Pathway 2 and 3: Rows 1-31 (Complete question)
2.1d	Provide a breakdown of your community-wide emissions by sector.	N/A
3.3	How many households within the jurisdiction boundary face energy poverty? Select the threshold used for energy poverty in your jurisdiction.	N/A
3.5	Report your jurisdiction's passenger and/or freight mode share data.	Pathway 2 and 3: Rows 1-23 (Complete question)
3.7	Report the following waste-related data for your jurisdiction.	Pathway 2 and 3: Row 1-9 (Complete question)
3.8	Report on how climate change impacts health outcomes and health services in your jurisdiction.	Pathway 2 and 3: Columns 1-7 (Complete question)
7.1a	Report details on the climate action plan or strategy that addresses climate mitigation and/or climate adaptation (resilience) in your jurisdiction.	Pathway 2 and 3: Columns 1 - 15 (Complete question)
7.2	Report details on the other climate-related plans, policies and/or strategies in your jurisdiction.	N/A
8.1	Describe the outcomes of the most significant adaptation actions your jurisdiction is currently undertaking. Note that this can include those in the planning and/or implementation phase.	Pathway 2 and 3: Columns 1 - 12 Column 13 and 14 are GCoM only
9.1	Describe the outcomes of the most significant mitigation actions your jurisdiction is currently undertaking. Note that this can include those in the planning and/or implementation phases.	Pathway 2 and 3: Column 1 - 13 Column 14 and 15 are GCoM only

Pathway 3 - Additional Questions (9)

Responding jurisdictions who select Pathway 3 will be presented with the questions as outlined in Pathway 1 and 2 in addition to the questions as outlined in the table below.

Question Number	Question Text	Column/Row Modifications
3.1a	Report the total electricity consumption in MWh and the energy mix used for electricity consumption in your jurisdiction.	N/A
3.1b	Report the total thermal (heating/cooling) energy consumption in MWh and the energy mix used for thermal (heating/cooling) source mix breakdown for energy consumption in your jurisdiction.	N/A
3.1c	For each type of renewable energy within the jurisdiction boundary, report the installed capacity (MW) and annual generation (MWh).	N/A
3.9	Report the following air pollution data for the jurisdiction.	N/A
3.12	Report the total quantity of food that is procured (in tonnes) for government-owned and/or operated facilities (including municipal facilities, schools, hospitals, youth centers, shelters, public canteens, prisons etc.). If available, please provide a breakdown per food group.	N/A
3.13	Report the sources of your jurisdiction’s water supply, volumes withdrawn per source, and the projected change.	N/A
7.3	Does your jurisdiction have a strategy for reducing emissions from consumption of the jurisdiction's most relevant goods and services?	N/A
7.4	Does your jurisdiction have a strategy or standard for reducing emissions from the jurisdiction’s procurement and purchases of goods and services?	N/A
7.6	Report the factors that support climate-related investment and financial planning in your jurisdiction.	N/A

Projects and Initiatives - Additional Questions

Responding jurisdictions who participate in certain initiatives.

Question number	Question Text	Applicable Projects and Initiatives
2.2	Does your jurisdiction have a consumption-based emissions inventory to measure emissions from consumption of goods and services? The consumption-based approach captures direct and lifecycle GHG emissions of goods and services and allocates GHG emissions to the final consumers, rather than to the producers.	ICLEI Ecomobility Alliance, WWF One Planet City Challenge and NetZeroCities Initiative presented this question
2.3	Do you have an emissions inventory for your government operations to report?	ICLEI GreenClimateCities and NetZeroCities Initiative presented this question
2.3a	Attach your government operations emissions inventory and report the following information regarding this inventory.	ICLEI GreenClimateCities and NetZeroCities Initiative presented this question
2.3b	Report your government operations emissions in metric tonnes CO2e.	ICLEI GreenClimateCities and NetZeroCities Initiative presented this question
3.1d	Report the total jurisdiction-wide annual electricity and heating and cooling consumption for each sector listed and for your government operations.	100% Renewables Cities and Regions Network, WWF One Planet City Challenge and NetZeroCities Initiative presented this question
3.2	Report the percentage of households within the jurisdiction with access to clean cooking fuels and technologies.	GCoM and 100% Renewables Cities and Regions Network presented this question
3.4	Report the following information on access to secure energy for your jurisdiction.	GCoM and 100% Renewables Cities and Regions Network presented this question
3.6	Report the total emissions, fleet size and number of vehicle types for the following modes of transport.	ICLEI Ecomobility Alliance and NetZeroCities Initiative presented this question
10.2	Where available, please provide the following documentation relevant to your membership in the Green Climate Cities program.	ICLEI GreenClimateCities presented this question

2023 Cities Reporting Guidance